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  • ASA hairpining: I basicaly want to allow 2 spokes to be able to communicate with each other.

    - by Thirst4Knowledge
    ASA Spoke to Spoke Communication I have been looking at spke to spoke comms or "hairpining" for months and have posted on numerouse forums but to no avail. I have a Hub and spoke network where the HUB is an ASA Firewall version 8.2 * I basicaly want to allow 2 spokes to be able to communicate with each other. I think that I have got the concept of the ASA Config for example: same-security-traffic permit intra-interface access-list HQ-LAN extended permit ip ASA-LAN 255.255.248.0 HQ-LAN 255.255.255.0 access-list HQ-LAN extended permit ip 192.168.99.0 255.255.255.0 HQ-LAN 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 HQ-LAN 255.255.255.0 access-list no-nat extended permit ip HQ-LAN 255.255.255.0 192.168.99.0 255.255.255.0 access-list no-nat extended permit ip 192.168.99.0 255.255.255.0 HQ-LAN 255.255.255.0 I think my problem may be that the other spokes are not CIsco Firewalls and I need to work out how to do the alternative setups. I want to at least make sure that my firewall etup is correct then I can move onto the other spokes here is my config: Hostname ASA domain-name mydomain.com names ! interface Ethernet0/0 speed 100 duplex full nameif outside security-level 0 ip address 1.1.1.246 255.255.255.224 ! interface Ethernet0/1 speed 100 duplex full nameif inside security-level 100 ip address 192.168.240.33 255.255.255.224 ! interface Ethernet0/2 description DMZ VLAN-253 speed 100 duplex full nameif DMZ security-level 50 ip address 192.168.254.1 255.255.255.0 ! interface Ethernet0/3 no nameif no security-level no ip address ! boot system disk0:/asa821-k8.bin ftp mode passive clock timezone GMT/BST 0 dns server-group DefaultDNS domain-name mydomain.com same-security-traffic permit inter-interface same-security-traffic permit intra-interface object-group network ASA_LAN_Plus_HQ_LAN network-object ASA_LAN 255.255.248.0 network-object HQ-LAN 255.255.255.0 access-list outside_acl remark Exchange web access-list outside_acl extended permit tcp any host MS-Exchange_server-NAT eq https access-list outside_acl remark PPTP Encapsulation access-list outside_acl extended permit gre any host MS-ISA-Server-NAT access-list outside_acl remark PPTP access-list outside_acl extended permit tcp any host MS-ISA-Server-NAT eq pptp access-list outside_acl remark Intra Http access-list outside_acl extended permit tcp any host MS-ISA-Server-NAT eq www access-list outside_acl remark Intra Https access-list outside_acl extended permit tcp any host MS-ISA-Server-NAT eq https access-list outside_acl remark SSL Server-Https 443 access-list outside_acl remark Https 8443(Open VPN Custom port for SSLVPN client downlaod) access-list outside_acl remark FTP 20 access-list outside_acl remark Http access-list outside_acl extended permit tcp any host OpenVPN-Srvr-NAT object-group DM_INLINE_TCP_1 access-list outside_acl extended permit tcp any host OpenVPN-Srvr-NAT eq 8443 access-list outside_acl extended permit tcp any host OpenVPN-Srvr-NAT eq www access-list outside_acl remark For secure remote Managment-SSH access-list outside_acl extended permit tcp any host OpenVPN-Srvr-NAT eq ssh access-list outside_acl extended permit ip Genimage_Anyconnect 255.255.255.0 ASA_LAN 255.255.248.0 access-list ASP-Live remark Live ASP access-list ASP-Live extended permit ip ASA_LAN 255.255.248.0 192.168.60.0 255.255.255.0 access-list Bo remark Bo access-list Bo extended permit ip ASA_LAN 255.255.248.0 192.168.169.0 255.255.255.0 access-list Bill remark Bill access-list Bill extended permit ip ASA_LAN 255.255.248.0 Bill.15 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 Bill.5 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.149.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.160.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.165.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.144.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.140.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.152.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.153.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.163.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.157.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.167.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.156.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 North-Office-LAN 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.161.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.143.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.137.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.159.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 HQ-LAN 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.169.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.150.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.162.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.166.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.168.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.174.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.127.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.173.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.175.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.176.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.100.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 192.168.99.0 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 10.10.10.0 255.255.255.0 access-list no-nat extended permit ip host 192.168.240.34 Cisco-admin-LAN 255.255.255.0 access-list no-nat extended permit ip ASA_LAN 255.255.248.0 Genimage_Anyconnect 255.255.255.0 access-list no-nat extended permit ip host Tunnel-DC host HQ-SDSL-Peer access-list no-nat extended permit ip HQ-LAN 255.255.255.0 North-Office-LAN 255.255.255.0 access-list no-nat extended permit ip North-Office-LAN 255.255.255.0 HQ-LAN 255.255.255.0 access-list Car remark Car access-list Car extended permit ip ASA_LAN 255.255.248.0 192.168.165.0 255.255.255.0 access-list Che remark Che access-list Che extended permit ip ASA_LAN 255.255.248.0 192.168.144.0 255.255.255.0 access-list Chi remark Chi access-list Chi extended permit ip ASA_LAN 255.255.248.0 192.168.140.0 255.255.255.0 access-list Cla remark Cla access-list Cla extended permit ip ASA_LAN 255.255.248.0 192.168.152.0 255.255.255.0 access-list Eas remark Eas access-list Eas extended permit ip ASA_LAN 255.255.248.0 192.168.149.0 255.255.255.0 access-list Ess remark Ess access-list Ess extended permit ip ASA_LAN 255.255.248.0 192.168.153.0 255.255.255.0 access-list Gat remark Gat access-list Gat extended permit ip ASA_LAN 255.255.248.0 192.168.163.0 255.255.255.0 access-list Hud remark Hud access-list Hud extended permit ip ASA_LAN 255.255.248.0 192.168.157.0 255.255.255.0 access-list Ilk remark Ilk access-list Ilk extended permit ip ASA_LAN 255.255.248.0 192.168.167.0 255.255.255.0 access-list Ken remark Ken access-list Ken extended permit ip ASA_LAN 255.255.248.0 192.168.156.0 255.255.255.0 access-list North-Office remark North-Office access-list North-Office extended permit ip ASA_LAN 255.255.248.0 North-Office-LAN 255.255.255.0 access-list inside_acl remark Inside_ad access-list inside_acl extended permit ip any any access-list Old_HQ remark Old_HQ access-list Old_HQ extended permit ip ASA_LAN 255.255.248.0 HQ-LAN 255.255.255.0 access-list Old_HQ extended permit ip HQ-LAN 255.255.255.0 192.168.99.0 255.255.255.0 access-list She remark She access-list She extended permit ip ASA_LAN 255.255.248.0 192.168.150.0 255.255.255.0 access-list Lit remark Lit access-list Lit extended permit ip ASA_LAN 255.255.248.0 192.168.143.0 255.255.255.0 access-list Mid remark Mid access-list Mid extended permit ip ASA_LAN 255.255.248.0 192.168.137.0 255.255.255.0 access-list Spi remark Spi access-list Spi extended permit ip ASA_LAN 255.255.248.0 192.168.162.0 255.255.255.0 access-list Tor remark Tor access-list Tor extended permit ip ASA_LAN 255.255.248.0 192.168.166.0 255.255.255.0 access-list Tra remark Tra access-list Tra extended permit ip ASA_LAN 255.255.248.0 192.168.168.0 255.255.255.0 access-list Tru remark Tru access-list Tru extended permit ip ASA_LAN 255.255.248.0 192.168.174.0 255.255.255.0 access-list Yo remark Yo access-list Yo extended permit ip ASA_LAN 255.255.248.0 192.168.127.0 255.255.255.0 access-list Nor remark Nor access-list Nor extended permit ip ASA_LAN 255.255.248.0 192.168.159.0 255.255.255.0 access-list Nor extended permit ip ASA_LAN 255.255.248.0 192.168.173.0 255.255.255.0 inactive access-list ST remark ST access-list ST extended permit ip ASA_LAN 255.255.248.0 192.168.175.0 255.255.255.0 access-list Le remark Le access-list Le extended permit ip ASA_LAN 255.255.248.0 192.168.161.0 255.255.255.0 access-list DMZ-ACL remark DMZ access-list DMZ-ACL extended permit ip host OpenVPN-Srvr any access-list no-nat-dmz remark DMZ -No Nat access-list no-nat-dmz extended permit ip 192.168.250.0 255.255.255.0 HQ-LAN 255.255.255.0 access-list Split_Tunnel_List remark ASA-LAN access-list Split_Tunnel_List standard permit ASA_LAN 255.255.248.0 access-list Split_Tunnel_List standard permit Genimage_Anyconnect 255.255.255.0 access-list outside_cryptomap_30 remark Po access-list outside_cryptomap_30 extended permit ip ASA_LAN 255.255.248.0 Po 255.255.255.0 access-list outside_cryptomap_24 extended permit ip ASA_LAN 255.255.248.0 192.168.100.0 255.255.255.0 access-list outside_cryptomap_16 extended permit ip ASA_LAN 255.255.248.0 192.168.99.0 255.255.255.0 access-list outside_cryptomap_34 extended permit ip ASA_LAN 255.255.248.0 10.10.10.0 255.255.255.0 access-list outside_31_cryptomap extended permit ip host 192.168.240.34 Cisco-admin-LAN 255.255.255.0 access-list outside_32_cryptomap extended permit ip host Tunnel-DC host HQ-SDSL-Peer access-list Genimage_VPN_Any_connect_pix_client remark Genimage "Any Connect" VPN access-list Genimage_VPN_Any_connect_pix_client standard permit Genimage_Anyconnect 255.255.255.0 access-list Split-Tunnel-ACL standard permit ASA_LAN 255.255.248.0 access-list nonat extended permit ip HQ-LAN 255.255.255.0 192.168.99.0 255.255.255.0 pager lines 24 logging enable logging timestamp logging console notifications logging monitor notifications logging buffered warnings logging asdm informational no logging message 106015 no logging message 313001 no logging message 313008 no logging message 106023 no logging message 710003 no logging message 106100 no logging message 302015 no logging message 302014 no logging message 302013 no logging message 302018 no logging message 302017 no logging message 302016 no logging message 302021 no logging message 302020 flow-export destination inside MS-ISA-Server 2055 flow-export destination outside 192.168.130.126 2055 flow-export template timeout-rate 1 flow-export delay flow-create 15 mtu outside 1500 mtu inside 1500 mtu DMZ 1500 mtu management 1500 ip local pool RAS-VPN 10.0.0.1.1-10.0.0.1.254 mask 255.255.255.255 icmp unreachable rate-limit 1 burst-size 1 icmp permit any unreachable outside icmp permit any echo outside icmp permit any echo-reply outside icmp permit any outside icmp permit any echo inside icmp permit any echo-reply inside icmp permit any echo DMZ icmp permit any echo-reply DMZ asdm image disk0:/asdm-621.bin no asdm history enable arp timeout 14400 nat-control global (outside) 1 interface global (inside) 1 interface nat (inside) 0 access-list no-nat nat (inside) 1 0.0.0.0 0.0.0.0 nat (DMZ) 0 access-list no-nat-dmz static (inside,outside) MS-ISA-Server-NAT MS-ISA-Server netmask 255.255.255.255 static (DMZ,outside) OpenVPN-Srvr-NAT OpenVPN-Srvr netmask 255.255.255.255 static (inside,outside) MS-Exchange_server-NAT MS-Exchange_server netmask 255.255.255.255 access-group outside_acl in interface outside access-group inside_acl in interface inside access-group DMZ-ACL in interface DMZ route outside 0.0.0.0 0.0.0.0 1.1.1.225 1 route inside 10.10.10.0 255.255.255.0 192.168.240.34 1 route outside Genimage_Anyconnect 255.255.255.0 1.1.1.225 1 route inside Open-VPN 255.255.248.0 OpenVPN-Srvr 1 route inside HQledon-Voice-LAN 255.255.255.0 192.168.240.34 1 route outside Bill 255.255.255.0 1.1.1.225 1 route outside Yo 255.255.255.0 1.1.1.225 1 route inside 192.168.129.0 255.255.255.0 192.168.240.34 1 route outside HQ-LAN 255.255.255.0 1.1.1.225 1 route outside Mid 255.255.255.0 1.1.1.225 1 route outside 192.168.140.0 255.255.255.0 1.1.1.225 1 route outside 192.168.143.0 255.255.255.0 1.1.1.225 1 route outside 192.168.144.0 255.255.255.0 1.1.1.225 1 route outside 192.168.149.0 255.255.255.0 1.1.1.225 1 route outside 192.168.152.0 255.255.255.0 1.1.1.225 1 route outside 192.168.153.0 255.255.255.0 1.1.1.225 1 route outside North-Office-LAN 255.255.255.0 1.1.1.225 1 route outside 192.168.156.0 255.255.255.0 1.1.1.225 1 route outside 192.168.157.0 255.255.255.0 1.1.1.225 1 route outside 192.168.159.0 255.255.255.0 1.1.1.225 1 route outside 192.168.160.0 255.255.255.0 1.1.1.225 1 route outside 192.168.161.0 255.255.255.0 1.1.1.225 1 route outside 192.168.162.0 255.255.255.0 1.1.1.225 1 route outside 192.168.163.0 255.255.255.0 1.1.1.225 1 route outside 192.168.165.0 255.255.255.0 1.1.1.225 1 route outside 192.168.166.0 255.255.255.0 1.1.1.225 1 route outside 192.168.167.0 255.255.255.0 1.1.1.225 1 route outside 192.168.168.0 255.255.255.0 1.1.1.225 1 route outside 192.168.173.0 255.255.255.0 1.1.1.225 1 route outside 192.168.174.0 255.255.255.0 1.1.1.225 1 route outside 192.168.175.0 255.255.255.0 1.1.1.225 1 route outside 192.168.99.0 255.255.255.0 1.1.1.225 1 route inside ASA_LAN 255.255.255.0 192.168.240.34 1 route inside 192.168.124.0 255.255.255.0 192.168.240.34 1 route inside 192.168.50.0 255.255.255.0 192.168.240.34 1 route inside 192.168.51.0 255.255.255.128 192.168.240.34 1 route inside 192.168.240.0 255.255.255.224 192.168.240.34 1 route inside 192.168.240.164 255.255.255.224 192.168.240.34 1 route inside 192.168.240.196 255.255.255.224 192.168.240.34 1 timeout xlate 3:00:00 timeout conn 1:00:00 half-closed 0:10:00 udp 0:02:00 icmp 0:00:02 timeout sunrpc 0:10:00 h323 0:05:00 h225 1:00:00 mgcp 0:05:00 mgcp-pat 0:05:00 timeout sip 0:30:00 sip_media 0:02:00 sip-invite 0:03:00 sip-disconnect 0:02:00 timeout sip-provisional-media 0:02:00 uauth 0:05:00 absolute timeout tcp-proxy-reassembly 0:01:00 dynamic-access-policy-record DfltAccessPolicy aaa-server vpn protocol radius max-failed-attempts 5 aaa-server vpn (inside) host 192.168.X.2 timeout 60 key a5a53r3t authentication-port 1812 radius-common-pw a5a53r3t aaa authentication ssh console LOCAL aaa authentication http console LOCAL http server enable http 0.0.0.0 0.0.0.0 inside http 1.1.1.2 255.255.255.255 outside http 1.1.1.234 255.255.255.255 outside http 0.0.0.0 0.0.0.0 management http 1.1.100.198 255.255.255.255 outside http 0.0.0.0 0.0.0.0 outside crypto map FW_Outside_map 1 match address Bill crypto map FW_Outside_map 1 set peer x.x.x.121 crypto map FW_Outside_map 1 set transform-set SECURE crypto map FW_Outside_map 2 match address Bo crypto map FW_Outside_map 2 set peer x.x.x.202 crypto map FW_Outside_map 2 set transform-set SECURE crypto map FW_Outside_map 3 match address ASP-Live crypto map FW_Outside_map 3 set peer x.x.x.113 crypto map FW_Outside_map 3 set transform-set SECURE crypto map FW_Outside_map 4 match address Car crypto map FW_Outside_map 4 set peer x.x.x.205 crypto map FW_Outside_map 4 set transform-set SECURE crypto map FW_Outside_map 5 match address Old_HQ crypto map FW_Outside_map 5 set peer x.x.x.2 crypto map FW_Outside_map 5 set transform-set SECURE WG crypto map FW_Outside_map 6 match address Che crypto map FW_Outside_map 6 set peer x.x.x.204 crypto map FW_Outside_map 6 set transform-set SECURE crypto map FW_Outside_map 7 match address Chi crypto map FW_Outside_map 7 set peer x.x.x.212 crypto map FW_Outside_map 7 set transform-set SECURE crypto map FW_Outside_map 8 match address Cla crypto map FW_Outside_map 8 set peer x.x.x.215 crypto map FW_Outside_map 8 set transform-set SECURE crypto map FW_Outside_map 9 match address Eas crypto map FW_Outside_map 9 set peer x.x.x.247 crypto map FW_Outside_map 9 set transform-set SECURE crypto map FW_Outside_map 10 match address Ess crypto map FW_Outside_map 10 set peer x.x.x.170 crypto map FW_Outside_map 10 set transform-set SECURE crypto map FW_Outside_map 11 match address Hud crypto map FW_Outside_map 11 set peer x.x.x.8 crypto map FW_Outside_map 11 set transform-set SECURE crypto map FW_Outside_map 12 match address Gat crypto map FW_Outside_map 12 set peer x.x.x.212 crypto map FW_Outside_map 12 set transform-set SECURE crypto map FW_Outside_map 13 match address Ken crypto map FW_Outside_map 13 set peer x.x.x.230 crypto map FW_Outside_map 13 set transform-set SECURE crypto map FW_Outside_map 14 match address She crypto map FW_Outside_map 14 set peer x.x.x.24 crypto map FW_Outside_map 14 set transform-set SECURE crypto map FW_Outside_map 15 match address North-Office crypto map FW_Outside_map 15 set peer x.x.x.94 crypto map FW_Outside_map 15 set transform-set SECURE crypto map FW_Outside_map 16 match address outside_cryptomap_16 crypto map FW_Outside_map 16 set peer x.x.x.134 crypto map FW_Outside_map 16 set transform-set SECURE crypto map FW_Outside_map 16 set security-association lifetime seconds crypto map FW_Outside_map 17 match address Lit crypto map FW_Outside_map 17 set peer x.x.x.110 crypto map FW_Outside_map 17 set transform-set SECURE crypto map FW_Outside_map 18 match address Mid crypto map FW_Outside_map 18 set peer 78.x.x.110 crypto map FW_Outside_map 18 set transform-set SECURE crypto map FW_Outside_map 19 match address Sp crypto map FW_Outside_map 19 set peer x.x.x.47 crypto map FW_Outside_map 19 set transform-set SECURE crypto map FW_Outside_map 20 match address Tor crypto map FW_Outside_map 20 set peer x.x.x.184 crypto map FW_Outside_map 20 set transform-set SECURE crypto map FW_Outside_map 21 match address Tr crypto map FW_Outside_map 21 set peer x.x.x.75 crypto map FW_Outside_map 21 set transform-set SECURE crypto map FW_Outside_map 22 match address Yo crypto map FW_Outside_map 22 set peer x.x.x.40 crypto map FW_Outside_map 22 set transform-set SECURE crypto map FW_Outside_map 23 match address Tra crypto map FW_Outside_map 23 set peer x.x.x.145 crypto map FW_Outside_map 23 set transform-set SECURE crypto map FW_Outside_map 24 match address outside_cryptomap_24 crypto map FW_Outside_map 24 set peer x.x.x.46 crypto map FW_Outside_map 24 set transform-set SECURE crypto map FW_Outside_map 24 set security-association lifetime seconds crypto map FW_Outside_map 25 match address Nor crypto map FW_Outside_map 25 set peer x.x.x.70 crypto map FW_Outside_map 25 set transform-set SECURE crypto map FW_Outside_map 26 match address Ilk crypto map FW_Outside_map 26 set peer x.x.x.65 crypto map FW_Outside_map 26 set transform-set SECURE crypto map FW_Outside_map 27 match address Nor crypto map FW_Outside_map 27 set peer x.x.x.240 crypto map FW_Outside_map 27 set transform-set SECURE crypto map FW_Outside_map 28 match address ST crypto map FW_Outside_map 28 set peer x.x.x.163 crypto map FW_Outside_map 28 set transform-set SECURE crypto map FW_Outside_map 28 set security-association lifetime seconds crypto map FW_Outside_map 28 set security-association lifetime kilobytes crypto map FW_Outside_map 29 match address Lei crypto map FW_Outside_map 29 set peer x.x.x.4 crypto map FW_Outside_map 29 set transform-set SECURE crypto map FW_Outside_map 30 match address outside_cryptomap_30 crypto map FW_Outside_map 30 set peer x.x.x.34 crypto map FW_Outside_map 30 set transform-set SECURE crypto map FW_Outside_map 31 match address outside_31_cryptomap crypto map FW_Outside_map 31 set pfs crypto map FW_Outside_map 31 set peer Cisco-admin-Peer crypto map FW_Outside_map 31 set transform-set ESP-AES-256-SHA crypto map FW_Outside_map 32 match address outside_32_cryptomap crypto map FW_Outside_map 32 set pfs crypto map FW_Outside_map 32 set peer HQ-SDSL-Peer crypto map FW_Outside_map 32 set transform-set ESP-AES-256-SHA crypto map FW_Outside_map 34 match address outside_cryptomap_34 crypto map FW_Outside_map 34 set peer x.x.x.246 crypto map FW_Outside_map 34 set transform-set ESP-AES-128-SHA ESP-AES-192-SHA ESP-AES-256-SHA crypto map FW_Outside_map 65535 ipsec-isakmp dynamic dynmap crypto map FW_Outside_map interface outside crypto map FW_outside_map 31 set peer x.x.x.45 crypto isakmp identity address crypto isakmp enable outside crypto isakmp policy 9 webvpn enable outside svc enable group-policy ASA-LAN-VPN internal group-policy ASA_LAN-VPN attributes wins-server value 192.168.x.1 192.168.x.2 dns-server value 192.168.x.1 192.168.x.2 vpn-tunnel-protocol IPSec svc split-tunnel-policy tunnelspecified split-tunnel-network-list value Split-Tunnel-ACL default-domain value MYdomain username xxxxxxxxxx password privilege 15 tunnel-group DefaultRAGroup ipsec-attributes isakmp keepalive threshold 30 retry 2 tunnel-group DefaultWEBVPNGroup ipsec-attributes isakmp keepalive threshold 30 retry 2 tunnel-group x.x.x.121 type ipsec-l2l tunnel-group x.x.x..121 ipsec-attributes pre-shared-key * isakmp keepalive threshold 30 retry 2 tunnel-group x.x.x.202 type ipsec-l2l tunnel-group x.x.x.202 ipsec-attributes pre-shared-key * isakmp keepalive threshold 30 retry 2 tunnel-group x.x.x.113 type ipsec-l2l tunnel-group x.x.x.113 ipsec-attributes pre-shared-key * isakmp keepalive threshold 30 retry 2 tunnel-group x.x.x.205 type ipsec-l2l tunnel-group x.x.x.205 ipsec-attributes pre-shared-key * isakmp keepalive threshold 30 retry 2 tunnel-group x.x.x.204 type ipsec-l2l tunnel-group x.x.x.204 ipsec-attributes pre-shared-key * isakmp keepalive threshold 30 retry 2 tunnel-group x.x.x.212 type ipsec-l2l tunnel-group x.x.x.212 ipsec-attributes pre-shared-key * tunnel-group x.x.x.215 type ipsec-l2l tunnel-group x.x.x.215 ipsec-attributes pre-shared-key * tunnel-group x.x.x.247 type ipsec-l2l tunnel-group x.x.x.247 ipsec-attributes pre-shared-key * tunnel-group x.x.x.170 type ipsec-l2l tunnel-group x.x.x.170 ipsec-attributes pre-shared-key * isakmp keepalive disable tunnel-group x.x.x..8 type ipsec-l2l tunnel-group x.x.x.8 ipsec-attributes pre-shared-key * tunnel-group x.x.x.212 type ipsec-l2l tunnel-group x.x.x.212 ipsec-attributes pre-shared-key * tunnel-group x.x.x.230 type ipsec-l2l tunnel-group x.x.x.230 ipsec-attributes pre-shared-key * tunnel-group x.x.x.24 type ipsec-l2l tunnel-group x.x.x.24 ipsec-attributes pre-shared-key * tunnel-group x.x.x.46 type ipsec-l2l tunnel-group x.x.x.46 ipsec-attributes pre-shared-key * isakmp keepalive disable tunnel-group x.x.x.4 type ipsec-l2l tunnel-group x.x.x.4 ipsec-attributes pre-shared-key * tunnel-group x.x.x.110 type ipsec-l2l tunnel-group x.x.x.110 ipsec-attributes pre-shared-key * tunnel-group 78.x.x.110 type ipsec-l2l tunnel-group 78.x.x.110 ipsec-attributes pre-shared-key * tunnel-group x.x.x.47 type ipsec-l2l tunnel-group x.x.x.47 ipsec-attributes pre-shared-key * tunnel-group x.x.x.34 type ipsec-l2l tunnel-group x.x.x.34 ipsec-attributes pre-shared-key * isakmp keepalive disable tunnel-group x.x.x..129 type ipsec-l2l tunnel-group x.x.x.129 ipsec-attributes pre-shared-key * isakmp keepalive disable tunnel-group x.x.x.94 type ipsec-l2l tunnel-group x.x.x.94 ipsec-attributes pre-shared-key * isakmp keepalive disable tunnel-group x.x.x.40 type ipsec-l2l tunnel-group x.x.x.40 ipsec-attributes pre-shared-key * isakmp keepalive disable tunnel-group x.x.x.65 type ipsec-l2l tunnel-group x.x.x.65 ipsec-attributes pre-shared-key * tunnel-group x.x.x.70 type ipsec-l2l tunnel-group x.x.x.70 ipsec-attributes pre-shared-key * tunnel-group x.x.x.134 type ipsec-l2l tunnel-group x.x.x.134 ipsec-attributes pre-shared-key * isakmp keepalive disable tunnel-group x.x.x.163 type ipsec-l2l tunnel-group x.x.x.163 ipsec-attributes pre-shared-key * isakmp keepalive disable tunnel-group x.x.x.2 type ipsec-l2l tunnel-group x.x.x.2 ipsec-attributes pre-shared-key * isakmp keepalive disable tunnel-group ASA-LAN-VPN type remote-access tunnel-group ASA-LAN-VPN general-attributes address-pool RAS-VPN authentication-server-group vpn authentication-server-group (outside) vpn default-group-policy ASA-LAN-VPN tunnel-group ASA-LAN-VPN ipsec-attributes pre-shared-key * tunnel-group x.x.x.184 type ipsec-l2l tunnel-group x.x.x.184 ipsec-attributes pre-shared-key * tunnel-group x.x.x.145 type ipsec-l2l tunnel-group x.x.x.145 ipsec-attributes pre-shared-key * isakmp keepalive disable tunnel-group x.x.x.75 type ipsec-l2l tunnel-group x.x.x.75 ipsec-attributes pre-shared-key * tunnel-group x.x.x.246 type ipsec-l2l tunnel-group x.x.x.246 ipsec-attributes pre-shared-key * isakmp keepalive disable tunnel-group x.x.x.2 type ipsec-l2l tunnel-group x.x.x..2 ipsec-attributes pre-shared-key * tunnel-group x.x.x.98 type ipsec-l2l tunnel-group x.x.x.98 ipsec-attributes pre-shared-key * ! ! ! policy-map global_policy description Netflow class class-default flow-export event-type all destination MS-ISA-Server policy-map type inspect dns migrated_dns_map_1 parameters message-length maximum 512 Anyone have a clue because Im on the verge of going postal.....

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  • Non perdere la possibilità di incontrare i membri dell’Oracle Real-Time Decisions Customer Advisory Board!

    - by Silvia Valgoi
    Quest’anno, in via del tutto eccezionale, vengono aperte le porte dell’appuntamento annuale che Oracle dedica ai clienti di alcune specifiche Applicazioni: si incontreranno a Roma il prossimo 20 giugno 2012  i clienti mondiali della soluzione Oracle Real-Time Decisions (RTD). E’ una occasione unica per sentire direttamente da chi ha implementato questa soluzione quali siano stati i reali ritorni sugli investimenti e per parlare direttamente con loro in un contesto internazionale. La testimonianza di  Dell - che presenterà l’utilizzo di RTD  integrato anche a Siebel - la partecipazione di  BT, Deutsch Telecom, United Airlines, Bouygues Telecom, Dell e RoomKe, fanno di questo appuntamento un momento importante per tutti coloro che vedono nel Real-Time Decisions un tassello importante per le loro strategie di Customer Experience Management. Sei interessato? http://www.oracle.com/goto/RealTimeDecisions

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  • 2D Physics Engine to Handle Shapes Composed of Multiple Densities XNA

    - by Stupac
    The game I'm working on involves shapes that might be composed of multiple materials in a variety of ways. Let's just take for example a wooden rod with and sizable tip of iron or say a block composed of a couple triangles of stone and aluminum and small nugget of gold. The shapes and compositions will change from time to time, so I was wondering what engine I should use and how I might implement this feature? I've looked at Farseer 3, but I'm still trying to decipher the library by reading the source and the samples and wasn't sure if I was barking up the wrong tree. Thanks!

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  • How to implement Cache in web apps?

    - by Jhonnytunes
    This is really two questions. Im doing a project for the university for storing baseball players statitics, but from baseball data I have to calculate the score by year for the player who is beign displayed. The background is, lets say 10, 000 users hit the player "Alex Rodriguez", the application have to calculate 10, 000 the A-Rod stats by years intead of just read it from some where is temporal saved. Here I go: What is the best method for caching this type of data? Do I have to used the same database, and some temporal values on the same database, or create a Web Service for that? What reading about web caching so you recommend?

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  • Hai mai pensato a quanto ti costa qualificare le tue opportunità commerciali?

    - by user812481
    Il successo delle attività di marketing è dovuto alla profonda conoscenza dei propri clienti: chi sono, cosa acquistano e perché, come preferiscono essere contattati. Se i dati sui clienti sono distribuiti su più sistemi, rispondere a queste domande diventa difficile ed oneroso. Hai bisogno di un mix di strumenti best-in-class per l'automazione della forza di vendita e per l'efficienza delle attività di marketing, facendo confluire i dati chiave in un unico punto di accesso, per una visione a 360 gradi dei clienti. Vorresti incrementare il ROI delle campagne di marketing, proponendo diversi messaggi in funzione dei differenti target, ottenendo così un maggior successo delle iniziative? Scopri come ottenere una conoscenza maggiore del target per creare campagne di successo, mirate e personalizzate, attraverso video in italiano e docuemtni da condividere con i vostri colleghi.

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  • Redirect error in Google Webmaster Tools report

    - by Aurelio De Rosa
    I built a CMS and I used it to create the following website http://www.tkdmontecatini.com . After some days, Google Webmaster Tools started to give me several "Redirect error" on some pages like the follows: http://www.tkdmontecatini.com/it/photogallery http://www.tkdmontecatini.com/it/pagina/9/Informazioni/Corsi/Chi-Siamo http://www.tkdmontecatini.com/it/pagina/2/Informazioni/Eventi/Eventi The funny things are: If I access those links from a browser, it's all right and I've not redirect loops or other similar issues If I use the "Fetch as Googlebot" function, I get a great "Success" result Question: Any idea of why this happens and how can I fix it?

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  • One dimensional cutting algorithm with minimum waste

    - by jm666
    Can anybody point me to some resources about "cutting algorithm"? The problem: have rods with length of L meters, e.g. 6 m need cut smaller pieces of different lengths, e.g. need: 4 x 1.2m 8 x 0,9m etc... (many other lengths and counts) How to determine the optimal cutting, what will produce the minimum wasted material? I'm capable write an perl program, but haven't any idea about the algorithm. (if here is already some CPAN module what can help, would be nice). Alternatively, if someone can point me to some "spreadsheet" solution, or to anything what helps. Ps: in addition, need care about the "cutting line width" too, whats means than from the 6m long rod is impossible to cut 6 x 1m, because the cutting itself takes "3mm" width, so it is possible cut only 5 x 1m and the last piece will be only 98.5 cm (1m minus 5 x 3mm cut-width) ;(.

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  • Reliable Storage Systems for SQL Server

    By validating the IO path before commissioning the production database system, and performing ongoing validation through page checksums and DBCC checks, you can hopefully avoid data corruption altogether, or at least nip it in the bud. If corruption occurs, then you have to take the right decisions fast to deal with it. Rod Colledge explains how a pessimistic mindset can be an advantage...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Jquery - Accordion Fading

    - by Den
    I have to make something like an accordion, but I want it to fade while I click on a "li" of the menu. http://scripts.den-style.net/ Click on "Prodotti" and then on "Chi Siamo" ;D Can you help me? How can I fade each "pannel"?

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  • How to set the itemdata in a combox from key value

    - by glinch
    Hi, How would i set the itemdata from getting just the ID/key of a row, if i didnt know what order it is in on the list For example I have a combo box showing the following: cmbPeople: ID Name 2 Rod 4 Jane 6 Freddy eg. I know I want Jane to be the focus of the combo box, and i have the ID but i dont know that its the second item in the list ( Me.cmbPeople.ItemData(1) ) How would I go about doing this?? Thanks in advance for any help

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  • Model Fit of Binary GLM with more than 1 or 2 predictors

    - by Salmo salar
    I am trying to predict a binary GLM with multiple predictors. I can do it fine with one predictor variable however struggle when I use multiple Sample data: structure(list(attempt = structure(c(1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L), .Label = c("1", "2"), class = "factor"), searchtime = c(137, 90, 164, 32, 39, 30, 197, 308, 172, 48, 867, 117, 63, 1345, 38, 122, 226, 397, 0, 106, 259, 220, 170, 102, 46, 327, 8, 10, 23, 108, 315, 318, 70, 646, 69, 97, 117, 45, 31, 64, 125, 17, 240, 63, 549, 1651, 233, 406, 334, 168, 127, 47, 881), mean.search.flow = c(15.97766667, 14.226, 17.15724762, 14.7465, 39.579, 23.355, 110.2926923, 71.95709524, 72.73666667, 32.37466667, 50.34905172, 27.98471429, 49.244, 109.1759778, 77.71733333, 37.446875, 101.23875, 67.78534615, 21.359, 36.54257143, 34.13961111, 64.35253333, 80.98554545, 61.50857143, 48.983, 63.81072727, 26.105, 46.783, 23.0605, 33.61557143, 46.31042857, 62.37061905, 12.565, 42.31983721, 15.3982, 14.49625, 23.77425, 25.626, 74.62485714, 170.1547778, 50.67125, 48.098, 66.83644444, 76.564875, 80.63189189, 136.0573243, 136.3484, 86.68688889, 34.82169565, 70.00415385, 64.67233333, 81.72766667, 57.74522034), Pass = structure(c(1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L), .Label = c("0", "1"), class = "factor")), .Names = c("attempt", "searchtime", "mean.search.flow", "Pass"), class = "data.frame", row.names = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 50L, 51L, 53L, 54L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L)) First model with single predictor M2 <- glm(Pass ~ searchtime, data = DF3, family = binomial) summary(M2) drop1(M2, test = "Chi") Plot works fine P1 <- predict(M2, newdata = MyData, type = "link", se = TRUE) plot(x=MyData$searchtime, exp(P1$fit) / (1+exp(P1$fit)), type = "l", ylim = c(0,1), xlab = "search time", ylab = "pobability of passage") lines(MyData$searchtime, exp(P1$fit+1.96*P1$se.fit)/ (1 + exp(P1$fit + 1.96 * P1$se.fit)), lty = 2) lines(MyData$searchtime, exp(P1$fit-1.96*P1$se.fit)/ (1 + exp(P1$fit - 1.96 * P1$se.fit)), lty = 2) points(DF3$searchtime, DF3$Search.and.pass) Second model M2a <- glm(Pass ~ searchtime + mean.search.flow+ attempt, data = DF3, family = binomial) summary(M2a) drop1(M2a, test = "Chi") How do I plot this with "dummy" data? I have tried along the lines of Model.matrix and expand.grid, as you would do with glmer, but fail straight away due to the two categorical variables along with factor(attempt)

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  • JQuery: How to AutoComplete "City, State" ?

    - by NickT
    Question: How can you use the JQuery Auto-Completion plugin to suggest a location ("City, State") for an input field? Meaning, someone wants to type in "Chicago, IL" ... so they begin typing "Chi" and it auto-suggestions "Chicago, IL". My biggest hurdles is finding a service that I can query to find out all US city+state names. I essentially want to do what the StackOverflow "Tags" input form works but form "City, State" auto completion.

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  • Feature Selection methods in MATLAB?

    - by Hossein
    Hi, I am trying to do some text classification with SVMs in MATLAB and really would to know if MATLAB has any methods for feature selection(Chi Sq.,MI,....), For the reason that I wan to try various methods and keeping the best method, I don't have time to implement all of them. That's why I am looking for such methods in MATLAB.Does any one know?

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  • The Faces in the Crowdsourcing

    - by Applications User Experience
    By Jeff Sauro, Principal Usability Engineer, Oracle Imagine having access to a global workforce of hundreds of thousands of people who can perform tasks or provide feedback on a design quickly and almost immediately. Distributing simple tasks not easily done by computers to the masses is called "crowdsourcing" and until recently was an interesting concept, but due to practical constraints wasn't used often. Enter Amazon.com. For five years, Amazon has hosted a service called Mechanical Turk, which provides an easy interface to the crowds. The service has almost half a million registered, global users performing a quarter of a million human intelligence tasks (HITs). HITs are submitted by individuals and companies in the U.S. and pay from $.01 for simple tasks (such as determining if a picture is offensive) to several dollars (for tasks like transcribing audio). What do we know about the people who toil away in this digital crowd? Can we rely on the work done in this anonymous marketplace? A rendering of the actual Mechanical Turk (from Wikipedia) Knowing who is behind Amazon's Mechanical Turk is fitting, considering the history of the actual Mechanical Turk. In the late 1800's, a mechanical chess-playing machine awed crowds as it beat master chess players in what was thought to be a mechanical miracle. It turned out that the creator, Wolfgang von Kempelen, had a small person (also a chess master) hiding inside the machine operating the arms to provide the illusion of automation. The field of human computer interaction (HCI) is quite familiar with gathering user input and incorporating it into all stages of the design process. It makes sense then that Mechanical Turk was a popular discussion topic at the recent Computer Human Interaction usability conference sponsored by the Association for Computing Machinery in Atlanta. It is already being used as a source for input on Web sites (for example, Feedbackarmy.com) and behavioral research studies. Two papers shed some light on the faces in this crowd. One paper tells us about the shifting demographics from mostly stay-at-home moms to young men in India. The second paper discusses the reliability and quality of work from the workers. Just who exactly would spend time doing tasks for pennies? In "Who are the crowdworkers?" University of California researchers Ross, Silberman, Zaldivar and Tomlinson conducted a survey of Mechanical Turk worker demographics and compared it to a similar survey done two years before. The initial survey reported workers consisting largely of young, well-educated women living in the U.S. with annual household incomes above $40,000. The more recent survey reveals a shift in demographics largely driven by an influx of workers from India. Indian workers went from 5% to over 30% of the crowd, and this block is largely male (two-thirds) with a higher average education than U.S. workers, and 64% report an annual income of less than $10,000 (keeping in mind $1 has a lot more purchasing power in India). This shifting demographic certainly has implications as language and culture can play critical roles in the outcome of HITs. Of course, the demographic data came from paying Turkers $.10 to fill out a survey, so there is some question about both a self-selection bias (characteristics which cause Turks to take this survey may be unrepresentative of the larger population), not to mention whether we can really trust the data we get from the crowd. Crowds can perform tasks or provide feedback on a design quickly and almost immediately for usability testing. (Photo attributed to victoriapeckham Flikr While having immediate access to a global workforce is nice, one major problem with Mechanical Turk is the incentive structure. Individuals and companies that deploy HITs want quality responses for a low price. Workers, on the other hand, want to complete the task and get paid as quickly as possible, so that they can get on to the next task. Since many HITs on Mechanical Turk are surveys, how valid and reliable are these results? How do we know whether workers are just rushing through the multiple-choice responses haphazardly answering? In "Are your participants gaming the system?" researchers at Carnegie Mellon (Downs, Holbrook, Sheng and Cranor) set up an experiment to find out what percentage of their workers were just in it for the money. The authors set up a 30-minute HIT (one of the more lengthy ones for Mechanical Turk) and offered a very high $4 to those who qualified and $.20 to those who did not. As part of the HIT, workers were asked to read an email and respond to two questions that determined whether workers were likely rushing through the HIT and not answering conscientiously. One question was simple and took little effort, while the second question required a bit more work to find the answer. Workers were led to believe other factors than these two questions were the qualifying aspect of the HIT. Of the 2000 participants, roughly 1200 (or 61%) answered both questions correctly. Eighty-eight percent answered the easy question correctly, and 64% answered the difficult question correctly. In other words, about 12% of the crowd were gaming the system, not paying enough attention to the question or making careless errors. Up to about 40% won't put in more than a modest effort to get paid for a HIT. Young men and those that considered themselves in the financial industry tended to be the most likely to try to game the system. There wasn't a breakdown by country, but given the demographic information from the first article, we could infer that many of these young men come from India, which makes language and other cultural differences a factor. These articles raise questions about the role of crowdsourcing as a means for getting quick user input at low cost. While compensating users for their time is nothing new, the incentive structure and anonymity of Mechanical Turk raises some interesting questions. How complex of a task can we ask of the crowd, and how much should these workers be paid? Can we rely on the information we get from these professional users, and if so, how can we best incorporate it into designing more usable products? Traditional usability testing will still play a central role in enterprise software. Crowdsourcing doesn't replace testing; instead, it makes certain parts of gathering user feedback easier. One can turn to the crowd for simple tasks that don't require specialized skills and get a lot of data fast. As more studies are conducted on Mechanical Turk, I suspect we will see crowdsourcing playing an increasing role in human computer interaction and enterprise computing. References: Downs, J. S., Holbrook, M. B., Sheng, S., and Cranor, L. F. 2010. Are your participants gaming the system?: screening mechanical turk workers. In Proceedings of the 28th international Conference on Human Factors in Computing Systems (Atlanta, Georgia, USA, April 10 - 15, 2010). CHI '10. ACM, New York, NY, 2399-2402. Link: http://doi.acm.org/10.1145/1753326.1753688 Ross, J., Irani, L., Silberman, M. S., Zaldivar, A., and Tomlinson, B. 2010. Who are the crowdworkers?: shifting demographics in mechanical turk. In Proceedings of the 28th of the international Conference Extended Abstracts on Human Factors in Computing Systems (Atlanta, Georgia, USA, April 10 - 15, 2010). CHI EA '10. ACM, New York, NY, 2863-2872. Link: http://doi.acm.org/10.1145/1753846.1753873

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  • Oracle annuncia la nuova release di Oracle Hyperion EPM System

    - by Stefano Oddone
    Lo scorso 4 Aprile, durante l'Oracle Open World tenutosi a Tokyo, Mark Hurd, Presidente di Oracle, ha annunciato l'imminente rilascio della release 11.1.2.2 di Oracle Hyperion Enterprise Performance Managent System, la piattaforma leader nel mercato mondiale dell'EPM. La nuova release introduce un insieme estremamente significativo di nuovi moduli, migliorie a moduli esistenti, evoluzioni tecnologiche e funzionali che incrementano ulteriormente il valore ed il vantaggio competitivo fornito dall'offerta Oracle. Tra le principali novità in evidenza: introduzione del nuovo modulo Oracle Hyperion Project Financial Planning, verticalizzazione per la pianificazione economico-finanziaria, il funding ed il budgeting di progetti, iniziative, attività, commesse arricchimento di Oracle Hyperion Planning con funzionalità built-in a supporto del Predictive Planning e del Rolling Forecast per supportare processi di budgeting e forecasting sempre più flessibili, frequenti ed efficaci introduzione del nuovo modulo Oracle Account Reconciliation Manager per la gestione dell'intero ciclo di vita delle attività di riconciliazione dei conti tra General Ledger e Sub-Ledger o tra sistemi contabili differenti arricchimento di Oracle Hyperion Financial Management con un'interfaccia web totalmente nuova e l'introduzione della Smart Dimensionality, ovvero la possibilità di definire modelli con più delle 12 dimensioni "canoniche" tipiche delle releases precedenti, con una gestione ottimizzata di query e calcoli in funzione della cardinalità delle dimensioni in gioco arricchimento di Oracle Hyperion Profitability & Cost Management con funzionalità di Detailed Profitability, ovvero la possibilità di implementare modelli di costing e profittabilità in presenza di dimensioni ad altissima cardinalità quali, ad esempio, gli SKU delle industrie Retail e Distribution, i clienti delle Banche Retail e delle Telco, le singole utente delle Utilities. arricchimento di Oracle Hyperion Financial Data Quality Management, in particolare della componente ERP Integrator, con estensione delle integrazioni pre-built verso SAP Financials e JD Edwards Enterprise One Financials introduzione di Oracle Exalytics, il primo engineered system specificatamente progettato per l'In-Memory Analytics che permette di ottenere performance di calcolo e di analisi senza precedenti al crescere dei volumi di dati, delle dimensioni dei modelli e della concorrenza degli utenti, supportando così processi di Business Intelligence, Planning & Budgeting, Cost Allocation sempre più articolati e distribuiti Il prossimo 19 Aprile nella sede Oracle di Cinisello Balsamo (MI) si terrà un evento dove verranno presentate in dettaglio le novità introdotte dalla nuova release dell'EPM System; l'evento sarà replicato il 3 Maggio nella sede Oracle di Roma. L'evento è pubblico e gratuito, chi fosse interessato può registrarsi qui. Per ulteriori informazioni potete fare riferimento alla Press Release Ufficiale Qui potete rivedere l'intervento di Mark Hurd all'Open World sulla Strategia Oracle per il Business Analytics

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  • Tab Sweep: Arquillian, Power Mac, PowerPC, JSP Performance, JMX Connection, ...

    - by arungupta
    Recent Tips and News on Java, Java EE 6, GlassFish & more : • Extreme Portability: OpenJDK 7 and GlassFish 3.1.1 on Power Mac G5! (Mark Heckler) • Using GlassFish domain templates to easily create several customized domains (Masoud Kalali) • OpenJDK 7 on Apple G5 PowerPC on Mac OS X 10.5.8 (John Yeary) • ENABLING REMOTE ADMINISTRATION FOR GLASSFISH (Adam Bien) • The Java EE 7 Feature List: Cloud Focused Upgrades (devx) • Improve JavaServer Pages Performance with Caching (distributedcaching) • Interactive Glassfish configuration and application deployment (mpashworth) • Allow JMX connection on JVM 1.6.x (Martin Muller) • Arquillian 1.0.0.Final released! Ready for GlassFish and WebLogic! Death to all bugs! (Markus Eisele) • Using GlassFish and APEXListener as backend for Apache so server APEX (Ronald Rod) • Installing and running Eclipse, Glassfish and Ubuntu 12.04 Precise for Web Applications (Connected Web) • Java EE 6 and modular JAX-RS services (Parijat) • ARQUILLIAN CONFIGURATION FOR EMBEDDED GLASSFISH 3.1.2 AND MAVEN 3 (Adam Bien) • Atmosphere .9 released (JeanFrancois Arcand) • Make JSF your friend again (Daniel Pfeifer)

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  • Pivotal Announces JSR-352 Compliance for Spring Batch

    - by reza_rahman
    Pivotal, the company currently funding development of the popular Spring Framework, recently announced JSR 352 (aka Batch Applications for the Java Platform) compliance for the Spring Batch project. More specifically, Spring Batch targets JSR-352 Java SE runtime compatibility rather than Java EE runtime compatibility. If you are surprised that APIs included in Java EE can pass TCKs targeted for Java SE, you should not be. Many other Java EE APIs target compatibility in Java SE environments such as JMS and JPA. You can read about Spring Batch's support for JSR-352 here as well as the Spring configuration to get JSR-352 working in Spring (typically a very low level implementation concern intended to be completely transparent to most JSR-352 users). JSR 352 is one of the few very encouraging cases of major active contribution to the Java EE standard from the Spring development team (the other major effort being Rod Johnson's co-leadership of JSR 330 along with Bob Lee). While IBM's Christopher Vignola led the spec and contributed IBM's years of highly mission critical batch processing experience from products like WebSphere Compute Grid and z/OS batch, the Spring team provided major influences to the API in particular for the chunk processing, listeners, splits and operational interfaces. The GlassFish team's own Mahesh Kannan also contributed, in particular by implementing much of the Java EE integration work for the reference implementation. This was an excellent example of multilateral engineering collaboration through the standards process. For many complex reasons it is not too hard to find evidence of less than amicable interaction between the Spring ecosystem and the Java EE standard over the years if one cares to dig deep enough. In reality most developers see Spring and Java EE as two sides of the same server-side Java coin. At the core Spring and Java EE ecosystems have always shared deep undercurrents of common user bases, bi-directional flows of ideas and perhaps genuine if not begrudging mutual respect. We can all hope for continued strength for both ecosystems and graceful high notes of collaboration via efforts like JSR 352.

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  • UEFI/GPT Win 7 Load Failure in Dual Boot and no GRUB2 [Ubuntu 12.04]

    - by cristian_jordache
    Configuration: MBB: ASRock X79 Extreme6 Win 7 installed on a INTEL 40GB SSD (GPT partitioned) Ubuntu 14.04 on a CORSAIR 30GB SSD (Ext4 and SWAP) I had Windows 7 installed previously in UEFI mode, using 3 partitions (GPT) and works fine if left alone. In UEFI BIOS settings I can see sometimes a "Windows Boot Manager" and other times (?) a "UEFI Intel" entry for INTEL HDD and Windows will boot properly selecting the one available at that time. I installed Ubuntu 14.04 after Win 7 w/o changing any UEFI BIOS settings and it works fine only if the BIOS is set w/ the Ubuntu partition as the first drive to boot, in AHCI mode. If both SSD drives are connected, the Win7 Intel boot drive can be chosen as first boot device but only as an "AHCI Intel drive" (No "Windows Boot Manager" nor "UEFI Intel device" options available in BIOS Boot menu) and Win7 will not load properly as long as the Ubuntu Crucial SSD is NOT PHYSICALLY DISCONNECTED. Windows will try, start booting for few seconds but will fail replacing Win7 logo and that startup animation with w/ the "old" white progress bar and then and will notify that there is a issue and prompt the user to try to Load Win 7 in Normal Mode again or try a Recovery Mode to fix it. If I let Windows INTEL HDD boot via BIOS/UEFI - Windows Boot manager selection, I may see the purple screen of Grub2 loaded for a while, but there's no selection for Ubuntu or Windows and/or then machine is not booting, showing a black screen and a small command prompt cursor blinking on top. So far the only option I see to have Ubuntu boot side by side w/ Win 7 is to reformat the Win7 SDD and set it boot in legacy BIOS mode with a MBR instead of GPT. Per my understanding this is a quite complex issue to fix (Rod Smith's answer was pretty helpful: UEFI boot on my Asus k52f) but any other suggestions are welcome. I find a bit odd that I can boot properly Windows7 SSD or an Ubuntu DVD using a DVD drive set in UEFI-BIOS in "AHCI mode" and w/ using "UEFI/Windows Boot Manager" booting option but I cannot boot a secondary SSD-HDD w/ Ubuntu having the same BIOS/UEFI Boot configuration. Looks like plugging the second SSD [the Ubuntu partition] is interfering with boot options in UEFI-BIOS.

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  • Frank Ludolph's Last Day at Work

    - by mprove
    Hi Frank, today is your last day at Oracle. I cannot belief that retirement is an alternative to designing software and improving products for decades. I might figure it out myself in a couple of years. Our ways have crossed several times. And I am extremely thankful for that. I still remember my first session on an Apple Lisa. It must have been around 1985. I was still in school, and we were visiting the University of Hamburg to get some orientation on the departments. When I started I chose Informatics. And I suppose the Apple Lisa played a significant role in my decision. Is it fate that I later wrote about Apple Lisa? I’ve attended your presentation and public demo of the Lisa System at CHI ’98 in Los Angeles. Maybe a video still exists. I should look it up and publish it somewhere. You had also booth duty for Sun Microsystems – presenting HotJava Views, a user interface for a network computer. And you were handing out VHS tapes (!) of Starfire. I still have mine – but no player anymore. Then I joined Sun in 2002, and I guess I popped up in your office each time when I came to Santa Clara. The SEED mentoring program finally made it possible that we exchanged and discussed many ideas on the past and future of HCI. Dueling Interaction Models of Personal-Computing and Web-Computing at MEDICI 2007 is one of the results. But do you remember for instance also our jam session with Phil Clevenger on Hello World? Marvelous! I will miss you at Oracle. Enjoy your life and let’s stay in touch.Matthias

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  • Is “Application Programming Interface” a bad name?

    - by Taylor Hawkes
    Application programming interface seems like a bad name for what it is. Is there a reason it was named such? I understand that people used to call them Advanced Programming Interfaces and then renamed to Application Programming Interface. Is that why it is poorly named? Why is it not named Application (to) Programmer Interface. I guess I'm just confused of the meaning behind that name? I write more about my confusion around the name here: BREAKING DOWN THE WORD “APPLICATION PROGRAMMING INTERFACE” This is a very confusing word. We mostly understand what the word Interface means, but “Application Programming”, what even is that. Honestly I'm confused. Is that suppose to be two words like “Application”, “Programming” and then the “Interface” is suppose to mean between the two? Like would a “Computer Human Interface” be an interface between a “Computer” and a “Human” (monitor , keyboard, mouse ) or is a “Computer Human” a real thing - perhaps the terminator. So a CHI is our boy Kyle Reese who is the only way we are able to work with the computer human. I think more likely “Application Programming Interface” was simply poorly named and doesn't really make sense. It was originally called an “Advanced Programming Interface” , but perhaps being a bit to ostentatious merged into the now wildly accepted “Application Programming Interface”. So now, not wanting to change an acronym has confused the living heck out everyone.... Any thoughts or clarification would be great, I'm giving a lecture on this topic in a month, so I would prefer not to BS my way through it.

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  • links for 2010-05-20

    - by Bob Rhubart
    @pevansgreenwood: People don’t like change. (Or do they?) "Creating a culture that embraces change, means changing the way we think about and structure our organisations and our careers. It means rethinking the rules of enterprise IT." -- Peter Evans Greenwood (tags: enterprisearchitecture change innovation) Karim Berrah: After IRON MAN 2 "Nice demo of a robot serving a cup of coffee, from a Swiss based engineering company, NOSAKI, I visited last week. This movie is not a fiction (like IRON MAN 2) and is really powered by an Oracle Database." -- Karim Berrah (tags: oracle solaris ironman2 nosake) @myfear: Spring and Google vs. Java EE 6 "While Spring and Rod Johnson in particular have been extremely valuable in influencing the direction of Java (2)EE after the 1.4 release to the new, much more pragmatic world of Java EE 5, Spring has also caused polarization and fragmentation. Instead of helping forge the Java community together, it has sought to advanced its own cause." Oracle ACE Director Markus Eisele (tags: google javaee spring oracleace java) Arup Nanda: Mining Listener Logs Listener logs contain a wealth of information on security events. Oracle ACE Director Arup Nanda shows you how to create an external table to read the listener logs using simple SQL. (tags: otn oracle oracleace sql security)

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  • How to tell if SPARC T4 crypto is being used?

    - by danx
    A question that often comes up when running applications on SPARC T4 systems is "How can I tell if hardware crypto accleration is being used?" To review, the SPARC T4 processor includes a crypto unit that supports several crypto instructions. For hardware crypto these include 11 AES instructions, 4 xmul* instructions (for AES GCM carryless multiply), mont for Montgomery multiply (optimizes RSA and DSA), and 5 des_* instructions (for DES3). For hardware hash algorithm optimization, the T4 has the md5, sha1, sha256, and sha512 instructions (the last two are used for SHA-224 an SHA-384). First off, it's easy to tell if the processor T4 crypto instructions—use the isainfo -v command and look for "sparcv9" and "aes" (and other hash and crypto algorithms) in the output: $ isainfo -v 64-bit sparcv9 applications crc32c cbcond pause mont mpmul sha512 sha256 sha1 md5 camellia kasumi des aes ima hpc vis3 fmaf asi_blk_init vis2 vis popc These instructions are not-privileged, so are available for direct use in user-level applications and libraries (such as OpenSSL). Here is the "openssl speed -evp" command shown with the built-in t4 engine and with the pkcs11 engine. Both run the T4 AES instructions, but the t4 engine is faster than the pkcs11 engine because it has less overhead (especially for smaller packet sizes): t-4 $ /usr/bin/openssl version OpenSSL 1.0.0j 10 May 2012 t-4 $ /usr/bin/openssl engine (t4) SPARC T4 engine support (dynamic) Dynamic engine loading support (pkcs11) PKCS #11 engine support t-4 $ /usr/bin/openssl speed -evp aes-128-cbc # t4 engine used by default . . . The 'numbers' are in 1000s of bytes per second processed. type 16 bytes 64 bytes 256 bytes 1024 bytes 8192 bytes aes-128-cbc 487777.10k 816822.21k 986012.59k 1017029.97k 1053543.08k t-4 $ /usr/bin/openssl speed -engine pkcs11 -evp aes-128-cbc engine "pkcs11" set. . . . The 'numbers' are in 1000s of bytes per second processed. type 16 bytes 64 bytes 256 bytes 1024 bytes 8192 bytes aes-128-cbc 31703.58k 116636.39k 350672.81k 696170.50k 993599.49k Note: The "-evp" flag indicates use the OpenSSL "EnVeloPe" API, which gives more accurate results. That's because it tells OpenSSL to use the same API that external programs use when calling OpenSSL libcrypto functions, evp(3openssl). DTrace Shows if T4 Crypto Functions Are Used OK, good enough, the isainfo(1) command shows the instructions are present, but how does one know if they are being used? Chi-Chang Lin, who works on Oracle Solaris performance, wrote a Dtrace script to show if T4 instructions are being executed. To show the T4 instructions are being used, run the following Dtrace script. Look for functions named "t4" and "yf" in the output. The OpenSSL T4 engine uses functions named "t4" and the PKCS#11 engine uses functions named "yf". To demonstrate, I'll first run "openssl speed" with the built-in t4 engine then with the pkcs11 engine. The performance numbers are not valid due to dtrace probes slowing things down. t-4 # dtrace -Z -n ' pid$target::*yf*:entry,pid$target::*t4_*:entry{ @[probemod, probefunc] = count();}' \ -c "/usr/bin/openssl speed -evp aes-128-cbc" dtrace: description 'pid$target::*yf*:entry' matched 101 probes . . . dtrace: pid 2029 has exited libcrypto.so.1.0.0 ENGINE_load_t4 1 libcrypto.so.1.0.0 t4_DH 1 libcrypto.so.1.0.0 t4_DSA 1 libcrypto.so.1.0.0 t4_RSA 1 libcrypto.so.1.0.0 t4_destroy 1 libcrypto.so.1.0.0 t4_free_aes_ctr_NIDs 1 libcrypto.so.1.0.0 t4_init 1 libcrypto.so.1.0.0 t4_add_NID 3 libcrypto.so.1.0.0 t4_aes_expand128 5 libcrypto.so.1.0.0 t4_cipher_init_aes 5 libcrypto.so.1.0.0 t4_get_all_ciphers 6 libcrypto.so.1.0.0 t4_get_all_digests 59 libcrypto.so.1.0.0 t4_digest_final_sha1 65 libcrypto.so.1.0.0 t4_digest_init_sha1 65 libcrypto.so.1.0.0 t4_sha1_multiblock 126 libcrypto.so.1.0.0 t4_digest_update_sha1 261 libcrypto.so.1.0.0 t4_aes128_cbc_encrypt 1432979 libcrypto.so.1.0.0 t4_aes128_load_keys_for_encrypt 1432979 libcrypto.so.1.0.0 t4_cipher_do_aes_128_cbc 1432979 t-4 # dtrace -Z -n 'pid$target::*yf*:entry{ @[probemod, probefunc] = count();}   pid$target::*yf*:entry,pid$target::*t4_*:entry{ @[probemod, probefunc] = count();}' \ -c "/usr/bin/openssl speed -engine pkcs11 -evp aes-128-cbc" dtrace: description 'pid$target::*yf*:entry' matched 101 probes engine "pkcs11" set. . . . dtrace: pid 2033 has exited libcrypto.so.1.0.0 ENGINE_load_t4 1 libcrypto.so.1.0.0 t4_DH 1 libcrypto.so.1.0.0 t4_DSA 1 libcrypto.so.1.0.0 t4_RSA 1 libcrypto.so.1.0.0 t4_destroy 1 libcrypto.so.1.0.0 t4_free_aes_ctr_NIDs 1 libcrypto.so.1.0.0 t4_get_all_ciphers 1 libcrypto.so.1.0.0 t4_get_all_digests 1 libsoftcrypto.so.1 rijndael_key_setup_enc_yf 1 libsoftcrypto.so.1 yf_aes_expand128 1 libcrypto.so.1.0.0 t4_add_NID 3 libsoftcrypto.so.1 yf_aes128_cbc_encrypt 1542330 libsoftcrypto.so.1 yf_aes128_load_keys_for_encrypt 1542330 So, as shown above the OpenSSL built-in t4 engine executes t4_* functions (which are hand-coded assembly executing the T4 AES instructions) and the OpenSSL pkcs11 engine executes *yf* functions. Programmatic Use of OpenSSL T4 engine The OpenSSL t4 engine is used automatically with the /usr/bin/openssl command line. Chi-Chang Lin also points out that if you're calling the OpenSSL API (libcrypto.so) from a program, you must call ENGINE_load_built_engines(), otherwise the built-in t4 engine will not be loaded. You do not call ENGINE_set_default(). That's because "openssl speed -evp" test calls ENGINE_load_built_engines() even though the "-engine" option wasn't specified. OpenSSL T4 engine Availability The OpenSSL t4 engine is available with Solaris 11 and 11.1. For Solaris 10 08/11 (U10), you need to use the OpenSSL pkcs311 engine. The OpenSSL t4 engine is distributed only with the version of OpenSSL distributed with Solaris (and not third-party or self-compiled versions of OpenSSL). The OpenSSL engine implements the AES cipher for Solaris 11, released 11/2011. For Solaris 11.1, released 11/2012, the OpenSSL engine adds optimization for the MD5, SHA-1, and SHA-2 hash algorithms, and DES-3. Although the T4 processor has Camillia and Kasumi block cipher instructions, these are not implemented in the OpenSSL T4 engine. The following charts may help view availability of optimizations. The first chart shows what's available with Solaris CLIs and APIs, the second chart shows what's available in Solaris OpenSSL. Native Solaris Optimization for SPARC T4 This table is shows Solaris native CLI and API support. As such, they are all available with the OpenSSL pkcs11 engine. CLIs: "openssl -engine pkcs11", encrypt(1), decrypt(1), mac(1), digest(1), MD5sum(1), SHA1sum(1), SHA224sum(1), SHA256sum(1), SHA384sum(1), SHA512sum(1) APIs: PKCS#11 library libpkcs11(3LIB) (incluDES Openssl pkcs11 engine), libMD(3LIB), and Solaris kernel modules AlgorithmSolaris 1008/11 (U10)Solaris 11Solaris 11.1 AES-ECB, AES-CBC, AES-CTR, AES-CBC AES-CFB128 XXX DES3-ECB, DES3-CBC, DES2-ECB, DES2-CBC, DES-ECB, DES-CBC XXX bignum Montgomery multiply (RSA, DSA) XXX MD5, SHA-1, SHA-256, SHA-384, SHA-512 XXX SHA-224 X ARCFOUR (RC4) X Solaris OpenSSL T4 Engine Optimization This table is for the Solaris OpenSSL built-in t4 engine. Algorithms listed above are also available through the OpenSSL pkcs11 engine. CLI: openssl(1openssl) APIs: openssl(5), engine(3openssl), evp(3openssl), libcrypto crypto(3openssl) AlgorithmSolaris 11Solaris 11SRU2Solaris 11.1 AES-ECB, AES-CBC, AES-CTR, AES-CBC AES-CFB128 XXX DES3-ECB, DES3-CBC, DES-ECB, DES-CBC X bignum Montgomery multiply (RSA, DSA) X MD5, SHA-1, SHA-256, SHA-384, SHA-512 XX SHA-224 X Source Code Availability Solaris Most of the T4 assembly code that called the new T4 crypto instructions was written by Ferenc Rákóczi of the Solaris Security group, with assistance from others. You can download the Solaris source for this and other parts of Solaris as a few zip files at the Oracle Download website. The relevant source files are generally under directories usr/src/common/crypto/{aes,arcfour,des,md5,modes,sha1,sha2}}/sun4v/. and usr/src/common/bignum/sun4v/. Solaris 11 binary is available from the Oracle Solaris 11 download website. OpenSSL t4 engine The source for the OpenSSL t4 engine, which is based on the Solaris source above, is viewable through the OpenGrok source code browser in directory src/components/openssl/openssl-1.0.0/engines/t4 . You can download the source from the same website or through Mercurial source code management, hg(1). Conclusion Oracle Solaris with SPARC T4 provides a rich set of accelerated cryptographic and hash algorithms. Using the latest update, Solaris 11.1, provides the best set of optimized algorithms, but alternatives are often available, sometimes slightly slower, for releases back to Solaris 10 08/11 (U10). Reference See also these earlier blogs. SPARC T4 OpenSSL Engine by myself, Dan Anderson (2011), discusses the Openssl T4 engine and reviews the SPARC T4 processor for the Solaris 11 release. Exciting Crypto Advances with the T4 processor and Oracle Solaris 11 by Valerie Fenwick (2011) discusses crypto algorithms that were optimized for the T4 processor with the Solaris 11 FCS (11/11) and Solaris 10 08/11 (U10) release. T4 Crypto Cheat Sheet by Stefan Hinker (2012) discusses how to make T4 crypto optimization available to various consumers (such as SSH, Java, OpenSSL, Apache, etc.) High Performance Security For Oracle Database and Fusion Middleware Applications using SPARC T4 (PDF, 2012) discusses SPARC T4 and its usage to optimize application security. Configuring Oracle iPlanet WebServer / Oracle Traffic Director to use crypto accelerators on T4-1 servers by Meena Vyas (2012)

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  • Open source clone for Starcraft

    - by sinekonata
    Two questions about a SC:Broodwar clone. Is there one yet? How likely is legal pursuit? Since almost all games I usually play now have an FOS alternative from alpha to way polished, I was wondering why can't I find one for SC, one of the biggest titans of the gaming community? So my first question is, is there a game that was made with the intention to emulate SC? Is it that I didn't look well enough? Could it really be that no one tackled what seems like a small effort compared to the creation of a game engine like Spring or games like Rigs of Rod or Minetest? And since SC is not being maintained at all shouldn't the incentive to see a bug free modable balanced version huge? What am I not getting here? In the event that there is none, is it a legal problem? Could it be that people expect Blizzard to release sources themselves? Or that developers don't see the point in having SC mechanics without the patented lore and aesthetics? And the trickier question, if I were to make SC an open source game, a total clone of it for the purposes of maintenance, modability, etc. Would Blizzard really sue a team of developer fans that just do them a favour knowing they don't lose any money from Korea broadcasts? Or would they do it not to set precedents. So thanks for reading all that, hope I'm not the only one to think it's weird that no one talks about it. See you.

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  • OpenGL: Want to keep gun on top of car and be able to control angle. Having difficulties.

    - by Blair
    So I am making a simple game. I want to put a gun on top of a car so basically like a long rod in the middle of a black is how I am modelling it right now. I want to be able to control the angle of the gun. Basically it can go forward all the way so that it is parallel to the ground facing the direction the car is moving or it can point behind the car and any of the angles in between these positions. I have something like the following right now but its not really working. Is there an better way to do this that I am not seeing? #This will place the car glPushMatrix() glTranslatef(self.position.x,1.5,self.position.z) glRotated(self.rotation, 0.0, 1.0, 0.0) glScaled(0.5, 0.5, 0.5) glCallList(self.model.gl_list) glPopMatrix() #This will place the gun on top glPushMatrix() glTranslatef(self.position.x,2.5,self.position.z) glRotated(self.tube_angle, self.direction.z, 0.0, self.direction.x) print self.direction.z glRotated(45, self.position.z, 0.0, self.position.x) glScaled(1.0, 0.5, 1.0) glCallList(self.tube.gl_list) glPopMatrix() This almost works. It moves the gun up and down. But when the car moves around the angle of the gun changes. Not what I want.

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