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  • How to broadcast a command on Windows

    - by Xiao Jia
    I am going to frequently deploy different versions of a program on a cluster of Windows machines (mostly Windows XP), so I am willing to use a command-line broadcasting tool (either built-in or 3rd-party) to (1) download a file from some URL, and (2) execute the same command, on all the machines. I googled for a very long time but got nothing related to my goal. (Only pages about broadcasting a message, broadcasting ping, or programmatically broadcast via TCP/IP, etc.) Are there any tool for this purpose? Or is it possible to do it pragmatically (without installing extra client programs on those machines)?

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  • Configuring MPI on 2 nodes

    - by Wysek
    I'm trying to create really simple "cluster" from 2 multicore computers using openmpi. My problem is that I can't find any tutorials on that matter. I don't want to use torque because it's not necessary in my case nevertheless all tutorials give configuration details either about torque or mpd (which doesn't exist in openmpi implementation). Could you give me some tips or links to appropriate manuals? Steps I've already completed: - openmpi installation - network configuration (computers see each other) - ssh password-less login to second computer I tried using machinefiles without further configuration and with just 2 IPs in it. But jobs don't seem to start at all after initialization part. (MPI seems to work because I'm able to scatter jobs on multiple cores of both computers without communication between them).

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  • HDFS some datanodes of cluster are suddenly disconnected while reducers are running

    - by user1429825
    I have 8 slave computers and 1 master computer for running Hadoop (ver 0.21) some datanodes of cluster are suddenly disconnected while I was running MapReduce code on 10GB data After all mappers finished and around 80% of reducers was processed, randomly one or more datanode disconned from network. and then the other datanodes start to disappear from network even if I killed the MapReduce job when I found some datanode was disconnected. I've tried to change dfs.datanode.max.xcievers to 4096, turned off fire-walls of all computing node, disabled selinux and increased the number of file open limit to 20000 but they didn't work at all... anyone have a idea to solve this problem? followings are error log from mapreduce 12/06/01 12:31:29 INFO mapreduce.Job: Task Id : attempt_201206011227_0001_r_000006_0, Status : FAILED java.io.IOException: Bad connect ack with firstBadLink as ***.***.***.148:20010 at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.createBlockOutputStream(DFSOutputStream.java:889) at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.nextBlockOutputStream(DFSOutputStream.java:820) at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:427) and followings are logs from datanode 2012-06-01 13:01:01,118 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving block blk_-5549263231281364844_3453 src: /*.*.*.147:56205 dest: /*.*.*.142:20010 2012-06-01 13:01:01,136 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: DatanodeRegistration(*.*.*.142:20010, storageID=DS-1534489105-*.*.*.142-20010-1337757934836, infoPort=20075, ipcPort=20020) Starting thread to transfer block blk_-3849519151985279385_5906 to *.*.*.147:20010 2012-06-01 13:01:19,135 WARN org.apache.hadoop.hdfs.server.datanode.DataNode: DatanodeRegistration(*.*.*.142:20010, storageID=DS-1534489105-*.*.*.142-20010-1337757934836, infoPort=20075, ipcPort=20020):Failed to transfer blk_-5797481564121417802_3453 to *.*.*.146:20010 got java.net.ConnectException: > Connection timed out at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:701) at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206) at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:373) at org.apache.hadoop.hdfs.server.datanode.DataNode$DataTransfer.run(DataNode.java:1257) at java.lang.Thread.run(Thread.java:722) 2012-06-01 13:06:20,342 INFO org.apache.hadoop.hdfs.server.datanode.DataBlockScanner: Verification succeeded for blk_6674438989226364081_3453 2012-06-01 13:09:01,781 WARN org.apache.hadoop.hdfs.server.datanode.DataNode: DatanodeRegistration(*.*.*.142:20010, storageID=DS-1534489105-*.*.*.142-20010-1337757934836, infoPort=20075, ipcPort=20020):Failed to transfer blk_-3849519151985279385_5906 to *.*.*.147:20010 got java.net.SocketTimeoutException: 480000 millis timeout while waiting for channel to be ready for write. ch : java.nio.channels.SocketChannel[connected local=/*.*.*.142:60057 remote=/*.*.*.147:20010] at org.apache.hadoop.net.SocketIOWithTimeout.waitForIO(SocketIOWithTimeout.java:246) at org.apache.hadoop.net.SocketOutputStream.waitForWritable(SocketOutputStream.java:164) at org.apache.hadoop.net.SocketOutputStream.transferToFully(SocketOutputStream.java:203) at org.apache.hadoop.hdfs.server.datanode.BlockSender.sendChunks(BlockSender.java:388) at org.apache.hadoop.hdfs.server.datanode.BlockSender.sendBlock(BlockSender.java:476) at org.apache.hadoop.hdfs.server.datanode.DataNode$DataTransfer.run(DataNode.java:1284) at java.lang.Thread.run(Thread.java:722) hdfs-site.xml <configuration> <property> <name>dfs.name.dir</name> <value>/home/hadoop/data/name</value> </property> <property> <name>dfs.data.dir</name> <value>/home/hadoop/data/hdfs1,/home/hadoop/data/hdfs2,/home/hadoop/data/hdfs3,/home/hadoop/data/hdfs4,/home/hadoop/data/hdfs5</value> </property> <property> <name>dfs.replication</name> <value>3</value> </property> <property> <name>dfs.datanode.max.xcievers</name> <value>4096</value> </property> <property> <name>dfs.http.address</name> <value>0.0.0.0:20070</value> <description>50070 The address and the base port where the dfs namenode web ui will listen on. If the port is 0 then the server will start on a free port. </description> </property> <property> <name>dfs.datanode.http.address</name> <value>0.0.0.0:20075</value> <description>50075 The datanode http server address and port. If the port is 0 then the server will start on a free port. </description> </property> <property> <name>dfs.secondary.http.address</name> <value>0.0.0.0:20090</value> <description>50090 The secondary namenode http server address and port. If the port is 0 then the server will start on a free port. </description> </property> <property> <name>dfs.datanode.address</name> <value>0.0.0.0:20010</value> <description>50010 The address where the datanode server will listen to. If the port is 0 then the server will start on a free port. </description> <property> <name>dfs.datanode.ipc.address</name> <value>0.0.0.0:20020</value> <description>50020 The datanode ipc server address and port. If the port is 0 then the server will start on a free port. </description> </property> <property> <name>dfs.datanode.https.address</name> <value>0.0.0.0:20475</value> </property> <property> <name>dfs.https.address</name> <value>0.0.0.0:20470</value> </property> </configuration> mapred-site.xml <configuration> <property> <name>mapred.job.tracker</name> <value>masternode:29001</value> </property> <property> <name>mapred.system.dir</name> <value>/home/hadoop/data/mapreduce/system</value> </property> <property> <name>mapred.local.dir</name> <value>/home/hadoop/data/mapreduce/local</value> </property> <property> <name>mapred.map.tasks</name> <value>32</value> <description> default number of map tasks per job.</description> </property> <property> <name>mapred.tasktracker.map.tasks.maximum</name> <value>4</value> </property> <property> <name>mapred.reduce.tasks</name> <value>8</value> <description> default number of reduce tasks per job.</description> </property> <property> <name>mapred.map.child.java.opts</name> <value>-Xmx2048M</value> </property> <property> <name>io.sort.mb</name> <value>500</value> </property> <property> <name>mapred.task.timeout</name> <value>1800000</value> <!-- 30 minutes --> </property> <property> <name>mapred.job.tracker.http.address</name> <value>0.0.0.0:20030</value> <description> 50030 The job tracker http server address and port the server will listen on. If the port is 0 then the server will start on a free port. </description> </property> <property> <name>mapred.task.tracker.http.address</name> <value>0.0.0.0:20060</value> <description> 50060 </property> </configuration>

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  • Sending USR2 to mongrel_rails sometimes results in an “Address already in use” on the restart

    - by Ben
    We have a rolling-restart mode for our mongrel cluster that sends a USR2 signal to each running process. This works great, most of the time. But very occasionally the mongrel process will shutdown, and then fail to restart, with the following error: /usr/local/lib/ruby/gems/1.8/gems/mongrel-1.1.5/bin/../lib/mongrel/tcphack.rb:12:in `initialize_without_backlog': Address already in use - bind(2) (Errno::EADDRINUSE) from /usr/local/lib/ruby/gems/1.8/gems/mongrel-1.1.5/bin/../lib/mongrel/tcphack.rb:12:in `initialize' from /usr/local/lib/ruby/gems/1.8/gems/mongrel-1.1.5/bin/../lib/mongrel.rb:93:in `new' from /usr/local/lib/ruby/gems/1.8/gems/mongrel-1.1.5/bin/../lib/mongrel.rb:93:in `initialize' from /usr/local/lib/ruby/gems/1.8/gems/mongrel-1.1.5/bin/../lib/mongrel/configurator.rb:139:in `new' from /usr/local/lib/ruby/gems/1.8/gems/mongrel-1.1.5/bin/../lib/mongrel/configurator.rb:139:in `listener' Looking though the mongrel source, the USR2 handler calls a synchronous stop on the running server, so it ought to block until the socket has been released. Has anyone seen this error? Does anyone have any ideas what might cause it? (I asked this question over on StackOverflow initially, but thought it might be more appropriate here)

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  • PBS batch jobs - the qalter command

    - by Ryan Budney
    I've got a giant computation running on a Scientific Linux cluster. At present I have over 600 jobs parked in the queue, waiting for processor time, while a few are running. I'm trying to use the qalter command on some of the idle but scheduled jobs. I'd like to schedule them for a later time, so that other users can jump part of the queue, sort of as an act of politeness. Is this doable? For example, JOBNAME 292399 is currently idle, scheduled to be run whenever a spot in the queue opens up. But if I run qalter -a 10051000 292398 followed by qrerun 292398 I get qrerun: Request invalid for state of job 292398.euler. From the qalter documentation, I thought 10051000 refers to tomorrow (oct 5th, 10am) but perhaps I'm misunderstanding something? If I'm going about this the wrong way, please let me know. The main thing I'm looking for is a command that's easily scriptable, so that I can modify when my queued tasks get run. qalter seems good for those purposes if I can get it working. I'd rather avoid running qdel and re qsubbing the computations, as there's a bookkeeping issue on which tasks to restart (vs which ones not to). I want to avoid that kind of bookkeeping. From googling around I notice some qalter commands have rather different date formats, but the above appears to be correct, as far as I can tell from the man docs. Any help would be appreciated.

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  • Pitfalls to using Gluster as a home/profile directory server?

    - by Bart Silverstrim
    I was asking recently about options for divvying up access to file servers, as we have a NAS solution that gets fairly bogged down when our users (with giant profiles, especially) all log in nearly simultaneously. I ran across Gluster and it looks like it can cluster different physical storage media into a single virtual volume and share it out like a virtual NAS from the client perspective and it support CIFS. My question is whether something like this would be feasible to use for home and profile directories in an active directory environment. I was worried about ACL's, primarily, as I didn't think CIFS was fine-grained enough to support NTFS permissions and it didn't look like Gluster exports those permission levels, just the base permissions for basic file sharing. I got the impression that using Gluster would allow for data to be redundant across multiple servers and would speed up access to the files under heavy load, while allowing us to dynamically boost storage capacity by just adding another server and telling Gluster's master node to add that server. Maybe I'm wrong with my understanding of it though. Anyone else use it or care to share how feasible this is?

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  • Built local glibc, broke system, how do I ssh without parsing the .bashrc?

    - by Mikhail
    The cluster I am on had really old build tools and I needed to use CUDA5. I'm a pretty clever dude and I planned on building the necissary tools. So, I built a local copy of gcc, bintools, and glibc. Everything a CUDA5 could want. All builds finished without error. and I tested gcc and bintools. Everything was wonderful and I built and ran a few of the programs. I set up the LD_LIBRARY_PATHs in the .bashrc and logged back in, expecting a productive night ahead. To my horror I realized that everything is dynamically linked. Now I can't do simple commands like ls [ex@uid377 ~]$ ls ls: error while loading shared libraries: __vdso_time: invalid mode for dlopen(): Invalid argument and I can't do commands to fix the problem like rm or vim! Is there a way for me to ssh but also to ignore .bashrc file? Any suggestions are much appreciated. This machine is obviously under maintained and I don't know when I could have administrator support.

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  • Cannot increase Datastore

    - by k4w4zz
    Hello, We have an ESX 4.0 cluster with 2 hosts, EMC Clarion SAN storage with 10 LUNs. We have added 2 new 400 GB LUNs. All the LUNs are visible from both hosts. I have extended an existing 500 GB datastore with one of these 400 GB LUNs - the new datastore size is now 900 GB. I'd like to do the same operation with the second 400 GB LUN to extend another existing datastore but I'm not able to do it. The LUN is available to create a brand new datastore but is not visible to extend an existing one. I don't understand why everything was fine with the other one and why can't I do the same exact operation with this LUN. The result is the same on both hosts. The SAN admin have erased and re-created several times this LUN. I have rescan the HBA each time. In attachment you can find the result of the esxcfg-mpath -l and fdisk -l commands on both servers. Does somebody have an idea please?

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  • Managing an application across multiple servers, or PXE vs cfEngine/Chef/Puppet

    - by matt
    We have an application that is running on a few (5 or so and will grow) boxes. The hardware is identical in all the machines, and ideally the software would be as well. I have been managing them by hand up until now, and don't want to anymore (static ip addresses, disabling all necessary services, installing required packages...) . Can anyone balance the pros and cons of the following options, or suggest something more intelligent? 1: Individually install centos on all the boxes and manage the configs with chef/cfengine/puppet. This would be good, as I have wanted an excuse to learn to use one of applications, but I don't know if this is actually the best solution. 2: Make one box perfect and image it. Serve the image over PXE and whenever I want to make modifications, I can just reboot the boxes from a new image. How do cluster guys normally handle things like having mac addresses in the /etc/sysconfig/network-scripts/ifcfg* files? We use infiniband as well, and it also refuses to start if the hwaddr is wrong. Can these be correctly generated at boot? I'm leaning towards the PXE solution, but I think monitoring with munin or nagios will be a little more complicated with this. Anyone have experience with this type of problem? All the servers have SSDs in them and are fast and powerful. Thanks, matt.

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  • Determining physical location of data on a disc

    - by Synetech
    Does anybody know of a way to find out where, physically on a CD or DVD a given piece of data would be located? I am trying to watch a DVD at the moment, and am about half-way through, but it keeps dying at a specific spot in the film, presumably because of a scratch. I have a repair kit, but I don’t know where to focus my repair because there are several scuffs and scratches on the disc and I have no way of knowing which one is causing the issue. Obviously, cleaning all of them is inadvisable because not only does it waste the consumable materials in the kit, but not all of them are a problem, and by working them, some may become unreadable. Moreover, just because I am half-way through the movie does not mean that it would be half-way from the hub to the edge for several reasons: Discs have more data towards the outer edge than the inner edge (circles are more mathematically complicated than rectangles) The disc is not completely filled up (and even if it were, the movie itself would be be using it all, there are extras and such) Because in this particular case it is a commercial DVD, it is also dual-layer which further complicates manual determination As such, I am trying to find a program that can let me identify a file (or part thereof), cluster, etc. and show me a picture of where on the CD/DVD it would be located. That way, I can look at the disc and fix any scratches that correspond to that distance from the hub. For example, the image below might indicate where on a disc a couple of files or range of clusters would be located, so by looking for anomalies in those areas (rotating as necessary), the correct one can be identified. I’m sure it can be done since at least one form of copy protection (DPM) uses it and DVD-lab Pro includes a “DVD Topology” feature to do this.

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  • thought about shared storage (NFS, Lustre) [closed]

    - by user134880
    Possible Duplicate: Can you help me with my capacity planning? Now I habe small cluster with total of 8 nodes. 6 of them are computing nodes (apache and vmware) and 2 nodes are for storage. 2 storage nodes are identical. Each storage server is linux box with 8 x 1Tb WD RE4 in soft raid 10. 1st box is master and 2nd is slave. Data is mirrored with DRDB. We export NFSv4 shares to Apache (for document root) and iSCSI to Vmware. Now all is working pretty good and stable. But it will be soon time to upgrade our system. I have been thinking of Lustre. Does some one has any real experience with Lustre or NFS medium clusters? Will it be good idea just to upgrade server and change hdd's to 3Tb ? With NFS we will always have only 2 servers to maintain (one primary and one slave). Thanks. QUESTIONS: 1) Does some one used Lustre? In production? I have seen a lot of info about how it is hard to setup Lustre because you need to compile own kernel and patches. It's answers from newbies. Is there some one who has used Lustre for some period of time? 2) About disk upgrades - it's only description of strategy. I'm not asking if it is enough 3Tb or not. I just ask if it is right just to replace hdds instead of adding new server (like with Lustre) Thanks again.

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  • What applications can be used in a Red Hat/CentOS cluster?

    - by Sandra
    Hi, When I look at the Red Hat cluster manuals 1 2, they only explain how to install it but not what applications can use it. I am new to clusters, so I don't know these things =) Let's say I want to 3 node high performance cluster; What applications would work with it? Also, how does an application talk to the cluster? Does the application need to have been written to support clusters? Sandra

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  • Setting up an Active-Active IIS Cluster with ARR - is it possible?

    - by Ahmed Zubair
    I would like to know if we can setup an Active-Active IIS Cluster using Windows Cluster services that shares a common storage to store web content and WITHOUT the use of Windows NLB. I'm aware that this may not be a best practice or not a recommended setup, however, the setup is to be configured as below: Two web servers running IIS 7.5 (needs a common storage for web content) for HA and another set of two servers for sql cluster in active-passive mode for HA. Also is it possible to enable ARR on 2 node active-active IIS cluster for load balancing http requests? Appreciate if someone replies with both pros & cons of the setup.

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  • How can I format an SD card with a more robust Linux-usable filesystem with a specific cluster size for better write performace?

    - by Harvey
    Goal: microSD card formatted... for best write performance for use only with embedded Linux for better reliability (random power failures may occur) using an 64kB cluster size I'm using an 8GB microSD card for data storage inside an embedded Linux/ARM device. The SD card is not removable. I've been using ext3 instead of the pre-installed FAT32 because it seems to better handle random power failures during writes. However, I kept noticing that my write performance is always best with the pre-installed FAT32 from Kingston. If I reformat the card with FAT32, the performance still suffers. After browsing wikipedia, I stumbled upon the following comment saying that some cards are optimized for specific cluster sizes. In my case, the Kingston comes pre-formatted for an 64kB cluster size. Risks of reformatting Reformatting an SD card with a different file system, or even with the same one, may make the card slower, or shorten its lifespan. Some cards use wear leveling, in which frequently modified blocks are mapped to different portions of memory at different times, and some wear-leveling algorithms are designed for the access patterns typical of the file allocation table on a FAT16 or FAT32 device.[60] In addition, the preformatted file system may use a cluster size that matches the erase region of the physical memory on the card; reformatting may change the cluster size and make writes less efficient.

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  • Need to reformat SQL Cluster Disk. How do I recover my SQL installation?

    - by I.T. Support
    We need to reformat the SQL cluster disk in our SQL cluster. The drive contains the shared installation files for SQL as well as databases. My concern is how SQL/The Cluster will react to after we wipe the disk resource. Questions: Is there a defined procedure for this? How should we backup and restore the disk? After the reformat, how do we get the clustered SQL server back online? Thanks

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  • Fortran recursion segmentation faults

    - by ConnorG
    Hey all - I have to design and implement a Fortran routine to determine the size of clusters on a square lattice, and it seemed extremely convenient to code the subroutine recursively. However, whenever my lattice size grows beyond a certain value (around 200/side), the subroutine consistently segfaults. Here's my cluster-detection routine: RECURSIVE SUBROUTINE growCluster(lattice, adj, idx, area) INTEGER, INTENT(INOUT) :: lattice(:), area INTEGER, INTENT(IN) :: adj(:,:), idx lattice(idx) = -1 area = area + 1 IF (lattice(adj(1,idx)).GT.0) & CALL growCluster(lattice,adj,adj(1,idx),area) IF (lattice(adj(2,idx)).GT.0) & CALL growCluster(lattice,adj,adj(2,idx),area) IF (lattice(adj(3,idx)).GT.0) & CALL growCluster(lattice,adj,adj(3,idx),area) IF (lattice(adj(4,idx)).GT.0) & CALL growCluster(lattice,adj,adj(4,idx),area) END SUBROUTINE growCluster where adj(1,n) represents the north neighbor of site n, adj(2,n) represents the west and so on. What would cause the erratic segfault behavior? Is the cluster just "too huge" for large lattice sizes?

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  • IP failover with 2 nodes on different subnet: cannot ping virtual IP from second node?

    - by quanta
    I'm going to setup redundant failover Redmine: another instance was installed on the second server without problem MySQL (running on the same machine with Redmine) was configured as master-master replication Because they are in different subnet (192.168.3.x and 192.168.6.x), it seems that VIPArip is the only choice. /etc/ha.d/ha.cf on node1 logfacility none debug 1 debugfile /var/log/ha-debug logfile /var/log/ha-log autojoin none warntime 3 deadtime 6 initdead 60 udpport 694 ucast eth1 node2.ip keepalive 1 node node1 node node2 crm respawn /etc/ha.d/ha.cf on node2: logfacility none debug 1 debugfile /var/log/ha-debug logfile /var/log/ha-log autojoin none warntime 3 deadtime 6 initdead 60 udpport 694 ucast eth0 node1.ip keepalive 1 node node1 node node2 crm respawn crm configure show: node $id="6c27077e-d718-4c82-b307-7dccaa027a72" node1 node $id="740d0726-e91d-40ed-9dc0-2368214a1f56" node2 primitive VIPArip ocf:heartbeat:VIPArip \ params ip="192.168.6.8" nic="lo:0" \ op start interval="0" timeout="20s" \ op monitor interval="5s" timeout="20s" depth="0" \ op stop interval="0" timeout="20s" \ meta is-managed="true" property $id="cib-bootstrap-options" \ stonith-enabled="false" \ dc-version="1.0.12-unknown" \ cluster-infrastructure="Heartbeat" \ last-lrm-refresh="1338870303" crm_mon -1: ============ Last updated: Tue Jun 5 18:36:42 2012 Stack: Heartbeat Current DC: node2 (740d0726-e91d-40ed-9dc0-2368214a1f56) - partition with quorum Version: 1.0.12-unknown 2 Nodes configured, unknown expected votes 1 Resources configured. ============ Online: [ node1 node2 ] VIPArip (ocf::heartbeat:VIPArip): Started node1 ip addr show lo: 1: lo: <LOOPBACK,UP,LOWER_UP> mtu 16436 qdisc noqueue link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00 inet 127.0.0.1/8 scope host lo inet 192.168.6.8/32 scope global lo inet6 ::1/128 scope host valid_lft forever preferred_lft forever I can ping 192.168.6.8 from node1 (192.168.3.x): # ping -c 4 192.168.6.8 PING 192.168.6.8 (192.168.6.8) 56(84) bytes of data. 64 bytes from 192.168.6.8: icmp_seq=1 ttl=64 time=0.062 ms 64 bytes from 192.168.6.8: icmp_seq=2 ttl=64 time=0.046 ms 64 bytes from 192.168.6.8: icmp_seq=3 ttl=64 time=0.059 ms 64 bytes from 192.168.6.8: icmp_seq=4 ttl=64 time=0.071 ms --- 192.168.6.8 ping statistics --- 4 packets transmitted, 4 received, 0% packet loss, time 3000ms rtt min/avg/max/mdev = 0.046/0.059/0.071/0.011 ms but cannot ping virtual IP from node2 (192.168.6.x) and outside. Did I miss something? PS: you probably want to set IP2UTIL=/sbin/ip in the /usr/lib/ocf/resource.d/heartbeat/VIPArip resource agent script if you get something like this: Jun 5 11:08:10 node1 lrmd: [19832]: info: RA output: (VIPArip:stop:stderr) 2012/06/05_11:08:10 ERROR: Invalid OCF_RESK EY_ip [192.168.6.8] http://www.clusterlabs.org/wiki/Debugging_Resource_Failures Reply to @DukeLion: Which router receives RIP updates? When I start the VIPArip resource, ripd was run with below configuration file (on node1): /var/run/resource-agents/VIPArip-ripd.conf: hostname ripd password zebra debug rip events debug rip packet debug rip zebra log file /var/log/quagga/quagga.log router rip !nic_tag no passive-interface lo:0 network lo:0 distribute-list private out lo:0 distribute-list private in lo:0 !metric_tag redistribute connected metric 3 !ip_tag access-list private permit 192.168.6.8/32 access-list private deny any

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  • BizTalk Server 2009 - Architecture Options

    - by StuartBrierley
    I recently needed to put forward a proposal for a BizTalk 2009 implementation and as a part of this needed to describe some of the basic architecture options available for consideration.  While I already had an idea of the type of environment that I would be looking to recommend, I felt that presenting a range of options while trying to explain some of the strengths and weaknesses of those options was a good place to start.  These outline architecture options should be equally valid for any version of BizTalk Server from 2004, through 2006 and R2, up to 2009.   The following diagram shows a crude representation of the common implementation options to consider when designing a BizTalk environment.         Each of these options provides differing levels of resilience in the case of failure or disaster, with the later options also providing more scope for performance tuning and scalability.   Some of the options presented above make use of clustering. Clustering may best be described as a technology that automatically allows one physical server to take over the tasks and responsibilities of another physical server that has failed. Given that all computer hardware and software will eventually fail, the goal of clustering is to ensure that mission-critical applications will have little or no downtime when such a failure occurs. Clustering can also be configured to provide load balancing, which should generally lead to performance gains and increased capacity and throughput.   (A) Single Servers   This option is the most basic BizTalk implementation that should be considered. It involves the deployment of a single BizTalk server in conjunction with a single SQL server. This configuration does not provide for any resilience in the case of the failure of either server. It is however the cheapest and easiest to implement option of those available.   Using a single BizTalk server does not provide for the level of performance tuning that is otherwise available when using more than one BizTalk server in a cluster.   The common edition of BizTalk used in single server implementations is the standard edition. It should be noted however that if future demand requires increased capacity for a solution, this BizTalk edition is limited to scaling up the implementation and not scaling out the number of servers in use. Any need to scale out the solution would require an upgrade to the enterprise edition of BizTalk.   (B) Single BizTalk Server with Clustered SQL Servers   This option uses a single BizTalk server with a cluster of SQL servers. By utilising clustered SQL servers we can ensure that there is some resilience to the implementation in respect of the databases that BizTalk relies on to operate. The clustering of two SQL servers is possible with the standard edition but to go beyond this would require the enterprise level edition. While this option offers improved resilience over option (A) it does still present a potential single point of failure at the BizTalk server.   Using a single BizTalk server does not provide for the level of performance tuning that is otherwise available when using more than one BizTalk server in a cluster.   The common edition of BizTalk used in single server implementations is the standard edition. It should be noted however that if future demand requires increased capacity for a solution, this BizTalk edition is limited to scaling up the implementation and not scaling out the number of servers in use. You are also unable to take advantage of multiple message boxes, which would allow us to balance the SQL load in the event of any bottlenecks in this area of the implementation. Any need to scale out the solution would require an upgrade to the enterprise edition of BizTalk.   (C) Clustered BizTalk Servers with Clustered SQL Servers   This option makes use of a cluster of BizTalk servers with a cluster of SQL servers to offer high availability and resilience in the case of failure of either of the server types involved. Clustering of BizTalk is only available with the enterprise edition of the product. Clustering of two SQL servers is possible with the standard edition but to go beyond this would require the enterprise level edition.    The use of a BizTalk cluster also provides for the ability to balance load across the servers and gives more scope for performance tuning any implemented solutions. It is also possible to add more BizTalk servers to an existing cluster, giving scope for scaling out the solution as future demand requires.   This might be seen as the middle cost option, providing a good level of protection in the case of failure, a decent level of future proofing, but at a higher cost than the single BizTalk server implementations.   (D) Clustered BizTalk Servers with Clustered SQL Servers – with disaster recovery/service continuity   This option is similar to that offered by (C) and makes use of a cluster of BizTalk servers with a cluster of SQL servers to offer high availability and resilience in case of failure of either of the server types involved. Clustering of BizTalk is only available with the enterprise edition of the product. Clustering of two SQL servers is possible with the standard edition but to go beyond this would require the enterprise level edition.    As with (C) the use of a BizTalk cluster also provides for the ability to balance load across the servers and gives more scope for performance tuning the implemented solution. It is also possible to add more BizTalk servers to an existing cluster, giving scope for scaling the solution out as future demand requires.   In this scenario however, we would be including some form of disaster recovery or service continuity. An example of this would be making use of multiple sites, with the BizTalk server cluster operating across sites to offer resilience in case of the loss of one or more sites. In this scenario there are options available for the SQL implementation depending on the network implementation; making use of either one cluster per site or a single SQL cluster across the network. A multi-site SQL implementation would require some form of data replication across the sites involved.   This is obviously an expensive and complex option, but does provide an extraordinary amount of protection in the case of failure.

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  • Application throws NotSerializableException when run on an jboss cluster

    - by Kalpana
    Environment: JBoss 5.1.0, JBoss Seam 2.2.0 While trying to get my application running in a clustered environment after login I am getting the following exception. Post login we try to store the currentUser in jboss seam session context. java.io.NotSerializableException: org.jboss.seam.util.AnnotatedBeanProperty How to resolve this? java.io.NotSerializableException: org.jboss.seam.util.AnnotatedBeanProperty at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1156) at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java :1509) at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:14 74) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.jav a:1392) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1150) at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java :1509) at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:14 74) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.jav a:1392) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1150) at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:326) at java.util.ArrayList.writeObject(ArrayList.java:570) at sun.reflect.GeneratedMethodAccessor339.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAcces sorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:94 5) at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:14 61) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.jav a:1392) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1150) at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java :1509) at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:14 74) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.jav a:1392) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1150) at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:326) at java.util.HashMap.writeObject(HashMap.java:1001) at sun.reflect.GeneratedMethodAccessor338.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAcces sorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:94 5) at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:14 61) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.jav a:1392) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1150) at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:326) at org.jboss.ha.framework.server.SimpleCachableMarshalledValue.serialize (SimpleCachableMarshalledValue.java:271) at org.jboss.ha.framework.server.SimpleCachableMarshalledValue.writeExte rnal(SimpleCachableMarshalledValue.java:252) at java.io.ObjectOutputStream.writeExternalData(ObjectOutputStream.java: 1421) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.jav a:1390) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1150) at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:326) at org.jboss.cache.marshall.CacheMarshaller200.marshallObject(CacheMarsh aller200.java:460) at org.jboss.cache.marshall.CacheMarshaller300.marshallObject(CacheMarsh aller300.java:47) at org.jboss.cache.marshall.CacheMarshaller200.marshallMap(CacheMarshall er200.java:569) at org.jboss.cache.marshall.CacheMarshaller200.marshallObject(CacheMarsh aller200.java:370) at org.jboss.cache.marshall.CacheMarshaller300.marshallObject(CacheMarsh aller300.java:47) at org.jboss.cache.marshall.CacheMarshaller200.marshallCommand(CacheMars haller200.java:519) at org.jboss.cache.marshall.CacheMarshaller200.marshallObject(CacheMarsh aller200.java:314) at org.jboss.cache.marshall.CacheMarshaller300.marshallObject(CacheMarsh aller300.java:47) at org.jboss.cache.marshall.CacheMarshaller200.marshallCommand(CacheMars haller200.java:519) at org.jboss.cache.marshall.CacheMarshaller200.marshallObject(CacheMarsh aller200.java:314) at org.jboss.cache.marshall.CacheMarshaller300.marshallObject(CacheMarsh aller300.java:47) at org.jboss.cache.marshall.CacheMarshaller200.objectToObjectStream(Cach eMarshaller200.java:191) at org.jboss.cache.marshall.CacheMarshaller200.objectToObjectStream(Cach eMarshaller200.java:136) at org.jboss.cache.marshall.VersionAwareMarshaller.objectToBuffer(Versio nAwareMarshaller.java:182) at org.jboss.cache.marshall.VersionAwareMarshaller.objectToBuffer(Versio nAwareMarshaller.java:52) at org.jboss.cache.marshall.CommandAwareRpcDispatcher$ReplicationTask.ca ll(CommandAwareRpcDispatcher.java:369) at org.jboss.cache.marshall.CommandAwareRpcDispatcher$ReplicationTask.ca ll(CommandAwareRpcDispatcher.java:341) at org.jboss.cache.util.concurrent.WithinThreadExecutor.submit(WithinThr eadExecutor.java:82) at org.jboss.cache.marshall.CommandAwareRpcDispatcher.invokeRemoteComman ds(CommandAwareRpcDispatcher.java:206) at org.jboss.cache.RPCManagerImpl.callRemoteMethods(RPCManagerImpl.java: 748) at org.jboss.cache.RPCManagerImpl.callRemoteMethods(RPCManagerImpl.java: 716) at org.jboss.cache.RPCManagerImpl.callRemoteMethods(RPCManagerImpl.java: 721) at org.jboss.cache.interceptors.BaseRpcInterceptor.replicateCall(BaseRpc Interceptor.java:161) at org.jboss.cache.interceptors.BaseRpcInterceptor.replicateCall(BaseRpc Interceptor.java:135) at org.jboss.cache.interceptors.BaseRpcInterceptor.replicateCall(BaseRpc Interceptor.java:107) at org.jboss.cache.interceptors.ReplicationInterceptor.handleCrudMethod( ReplicationInterceptor.java:160) at org.jboss.cache.interceptors.ReplicationInterceptor.visitPutDataMapCo mmand(ReplicationInterceptor.java:113) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.base.CommandInterceptor.handleDefault(Co mmandInterceptor.java:131) at org.jboss.cache.commands.AbstractVisitor.visitPutDataMapCommand(Abstr actVisitor.java:60) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.TxInterceptor.attachGtxAndPassUpChain(Tx Interceptor.java:301) at org.jboss.cache.interceptors.TxInterceptor.handleDefault(TxIntercepto r.java:283) at org.jboss.cache.commands.AbstractVisitor.visitPutDataMapCommand(Abstr actVisitor.java:60) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.CacheMgmtInterceptor.visitPutDataMapComm and(CacheMgmtInterceptor.java:97) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.InvocationContextInterceptor.handleAll(I nvocationContextInterceptor.java:178) at org.jboss.cache.interceptors.InvocationContextInterceptor.visitPutDat aMapCommand(InvocationContextInterceptor.java:64) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.InterceptorChain.invoke(InterceptorChain .java:287) at org.jboss.cache.invocation.CacheInvocationDelegate.invokePut(CacheInv ocationDelegate.java:705) at org.jboss.cache.invocation.CacheInvocationDelegate.put(CacheInvocatio nDelegate.java:519) at org.jboss.ha.cachemanager.CacheManagerManagedCache.put(CacheManagerMa nagedCache.java:277) at org.jboss.web.tomcat.service.session.distributedcache.impl.jbc.JBossC acheWrapper.put(JBossCacheWrapper.java:148) at org.jboss.web.tomcat.service.session.distributedcache.impl.jbc.Abstra ctJBossCacheService.storeSessionData(AbstractJBossCacheService.java:405) at org.jboss.web.tomcat.service.session.ClusteredSession.processSessionR eplication(ClusteredSession.java:1166) at org.jboss.web.tomcat.service.session.JBossCacheManager.processSession Repl(JBossCacheManager.java:1937) at org.jboss.web.tomcat.service.session.JBossCacheManager.storeSession(J BossCacheManager.java:309) at org.jboss.web.tomcat.service.session.InstantSnapshotManager.snapshot( InstantSnapshotManager.java:51) at org.jboss.web.tomcat.service.session.ClusteredSessionValve.handleRequ est(ClusteredSessionValve.java:147) at org.jboss.web.tomcat.service.session.ClusteredSessionValve.invoke(Clu steredSessionValve.java:94) at org.jboss.web.tomcat.service.session.LockingValve.invoke(LockingValve .java:62) at org.apache.catalina.authenticator.AuthenticatorBase.invoke(Authentica torBase.java:433) at org.jboss.web.tomcat.security.JaccContextValve.invoke(JaccContextValv e.java:92) at org.jboss.web.tomcat.security.SecurityContextEstablishmentValve.proce ss(SecurityContextEstablishmentValve.java:126) at org.jboss.web.tomcat.security.SecurityContextEstablishmentValve.invok e(SecurityContextEstablishmentValve.java:70) at org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.j ava:127) at org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.j ava:102) at org.jboss.web.tomcat.service.jca.CachedConnectionValve.invoke(CachedC onnectionValve.java:158) at org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineVal ve.java:109) at org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.jav a:330) at org.apache.coyote.http11.Http11Processor.process(Http11Processor.java :829) at org.apache.coyote.http11.Http11Protocol$Http11ConnectionHandler.proce ss(Http11Protocol.java:598) at org.apache.tomcat.util.net.JIoEndpoint$Worker.run(JIoEndpoint.java:44 7) at java.lang.Thread.run(Thread.java:619) 16:38:35,789 ERROR [CommandAwareRpcDispatcher] java.io.NotSerializableException: org.jboss.seam.util.AnnotatedBeanProperty 16:38:35,789 WARN [/a12] Failed to replicate session YwBL69cG-zdm0m5CvzNj3Q__ java.lang.RuntimeException: Failure to marshal argument(s) at org.jboss.cache.marshall.CommandAwareRpcDispatcher$ReplicationTask.ca ll(CommandAwareRpcDispatcher.java:374) at org.jboss.cache.marshall.CommandAwareRpcDispatcher$ReplicationTask.ca ll(CommandAwareRpcDispatcher.java:341) at org.jboss.cache.util.concurrent.WithinThreadExecutor.submit(WithinThr eadExecutor.java:82) at org.jboss.cache.marshall.CommandAwareRpcDispatcher.invokeRemoteComman ds(CommandAwareRpcDispatcher.java:206) at org.jboss.cache.RPCManagerImpl.callRemoteMethods(RPCManagerImpl.java: 748) at org.jboss.cache.RPCManagerImpl.callRemoteMethods(RPCManagerImpl.java: 716) at org.jboss.cache.RPCManagerImpl.callRemoteMethods(RPCManagerImpl.java: 721) at org.jboss.cache.interceptors.BaseRpcInterceptor.replicateCall(BaseRpc Interceptor.java:161) at org.jboss.cache.interceptors.BaseRpcInterceptor.replicateCall(BaseRpc Interceptor.java:135) at org.jboss.cache.interceptors.BaseRpcInterceptor.replicateCall(BaseRpc Interceptor.java:107) at org.jboss.cache.interceptors.ReplicationInterceptor.handleCrudMethod( ReplicationInterceptor.java:160) at org.jboss.cache.interceptors.ReplicationInterceptor.visitPutDataMapCo mmand(ReplicationInterceptor.java:113) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.base.CommandInterceptor.handleDefault(Co mmandInterceptor.java:131) at org.jboss.cache.commands.AbstractVisitor.visitPutDataMapCommand(Abstr actVisitor.java:60) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.TxInterceptor.attachGtxAndPassUpChain(Tx Interceptor.java:301) at org.jboss.cache.interceptors.TxInterceptor.handleDefault(TxIntercepto r.java:283) at org.jboss.cache.commands.AbstractVisitor.visitPutDataMapCommand(Abstr actVisitor.java:60) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.CacheMgmtInterceptor.visitPutDataMapComm and(CacheMgmtInterceptor.java:97) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.InvocationContextInterceptor.handleAll(I nvocationContextInterceptor.java:178) at org.jboss.cache.interceptors.InvocationContextInterceptor.visitPutDat aMapCommand(InvocationContextInterceptor.java:64) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.InterceptorChain.invoke(InterceptorChain .java:287) at org.jboss.cache.invocation.CacheInvocationDelegate.invokePut(CacheInv ocationDelegate.java:705) at org.jboss.cache.invocation.CacheInvocationDelegate.put(CacheInvocatio nDelegate.java:519) at org.jboss.ha.cachemanager.CacheManagerManagedCache.put(CacheManagerMa nagedCache.java:277) at org.jboss.web.tomcat.service.session.distributedcache.impl.jbc.JBossC acheWrapper.put(JBossCacheWrapper.java:148) at org.jboss.web.tomcat.service.session.distributedcache.impl.jbc.Abstra ctJBossCacheService.storeSessionData(AbstractJBossCacheService.java:405) at org.jboss.web.tomcat.service.session.ClusteredSession.processSessionR eplication(ClusteredSession.java:1166) at org.jboss.web.tomcat.service.session.JBossCacheManager.processSession Repl(JBossCacheManager.java:1937) at org.jboss.web.tomcat.service.session.JBossCacheManager.storeSession(J BossCacheManager.java:309) at org.jboss.web.tomcat.service.session.InstantSnapshotManager.snapshot( InstantSnapshotManager.java:51) at org.jboss.web.tomcat.service.session.ClusteredSessionValve.handleRequ est(ClusteredSessionValve.java:147) at org.jboss.web.tomcat.service.session.ClusteredSessionValve.invoke(Clu steredSessionValve.java:94) at org.jboss.web.tomcat.service.session.LockingValve.invoke(LockingValve .java:62) at org.apache.catalina.authenticator.AuthenticatorBase.invoke(Authentica torBase.java:433) at org.jboss.web.tomcat.security.JaccContextValve.invoke(JaccContextValv e.java:92) at org.jboss.web.tomcat.security.SecurityContextEstablishmentValve.proce ss(SecurityContextEstablishmentValve.java:126) at org.jboss.web.tomcat.security.SecurityContextEstablishmentValve.invok e(SecurityContextEstablishmentValve.java:70) at org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.j ava:127) at org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.j ava:102) at org.jboss.web.tomcat.service.jca.CachedConnectionValve.invoke(CachedC onnectionValve.java:158) at org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineVal ve.java:109) at org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.jav a:330) at org.apache.coyote.http11.Http11Processor.process(Http11Processor.java :829) at org.apache.coyote.http11.Http11Protocol$Http11ConnectionHandler.proce ss(Http11Protocol.java:598) at org.apache.tomcat.util.net.JIoEndpoint$Worker.run(JIoEndpoint.java:44 7) at java.lang.Thread.run(Thread.java:619)

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  • Sharing transactions between web applications, which run in the same cluster

    - by pihentagy
    We (will) have the following architecture: Base.war will be a self-contained spring-hibernate application All applications will run under Glassfish, and may be clustered E1.war will sit on top of Base.war, extending it's functionality There could be further extensions (E2.war, E3.war, …) sitting on top of Base.war Either wars could start a transaction, and transactions could span between wars Without shutting down Base.war, or any other Ex.war, it should be possible to upgrade an Ey.war Is there a solution for this with spring-hibernate-glassfish environment?

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  • Cluster Graph Visualization using python

    - by AlgoMan
    I am assembling different visualization tools that are available in python language. I found the Treemap. (http://pypi.python.org/pypi/treemap/1.05) Can you suggest some other tools that are available. I am exploring different ways of visualization of web data.

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  • Best practices for building a simple, scalable cluster on Amazon EC2 for a Java web app

    - by Alex B
    I want to build a Java web app and deploy it on EC2. It will be written in Java and will use MySQL. I was hoping to get some pointers on the actual deployment process and configuration. In particular I'm interested in the following topics: machine images (diy vs ready made) mysql replication and backup to S3 ways of deploying and redeploying the app to EC2 without interruptions firewalls? load balancing and auto scaling cloudtools (or alternative tools)

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  • castle scheduler - cluster

    - by cvista
    Hi We're using the castle scheduler component: http://using.castleproject.org/display/Comp/Castle.Components.Scheduler?showChildren=false I have a wcf service which creates the tasks and that does it's job fine. I then have a console app running (will be a windows service eventually) which should then keep an eye out for tasks to run. Thing is the each create their own scheduler in the DB but they both have the same clusterid. Should the console app be able to run the tasks created by the wcf service? If not - how can i make it do that? Cheers w://

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  • Why does GetClusterShape return null when the cluster specification was retrieved through the GetClu

    - by Markus Olsson
    Suppose I have a virtual earth shape layer called shapeLayer1 (my creative energy is apparently at an alltime low). When i call the GetClusteredShapes method I get an array of VEClusterSpecification objects that represent each and every one of my currently visible clusters; no problem there. But when I call the GetClusterShape() method it returns null... null! Why on earth would it do that? I used firebug to confirm that the private variable of the VEClusterSpecification that's supposed to hold a reference to the shape is indeed null so it's not the method that's causing the problem. Some have suggested that this is actually documented behavior Returns null if a VEClusterSpecification object was returned from the VEShapeLayer.GetClusteredShapes Method But looking at the current MSDN documentation for the VEShape class it says: Returns if a VEClusterSpecification object was returned from the VEShapeLayer.GetClusteredShapes Method Is this a bug or a feature? Is there any known workarounds or (if it is a bug) some plan on when they are going to fix it?

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  • What is the best way for communication between cluster nodes

    - by Tom
    I have an application written in a combination of ASP/VB6/VBScript and ASP.NET/C# that consists of a website part, SOAP-like webservice part and a queue processing part processing incoming files in a hotfolder. We are used to running under load balancers (Microsoft or other make). Often we need to communicate between the different load balanced servers. Currently we do this through the SQL Server database that is common for all nodes, however, this comes with a performance penalty as each message requires a transaction and continual polling from the other nodes. What would be better ways to achieve this? Tom, Appelby

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