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  • Unofficial Prep guide for TS: Microsoft Lync Server 2010, Configuring (70-664)

    - by Enrique Lima
    Managing Users and Client Access (20 percent)   Objective Materials Configure user accounts http://technet.microsoft.com/en-us/library/gg182543.aspx Deploy and maintain clients http://technet.microsoft.com/en-us/library/gg412773.aspx Configure conferencing policies http://technet.microsoft.com/en-us/library/gg182561.aspx Configure IM policies http://technet.microsoft.com/en-us/library/gg182558.aspx Deploy and maintain Lync Server 2010 devices http://technet.microsoft.com/en-us/library/gg412773.aspx Resolve client access issues http://technet.microsoft.com/en-us/library/gg398307.aspx   Configuring a Lync Server 2010 Topology (21 percent)   Objective Materials Prepare to deploy a topology http://technet.microsoft.com/en-us/library/gg398630.aspx Configure Lync Server 2010 by using Topology Builder http://technet.microsoft.com/en-us/library/gg398420.aspx Configure role-based access control in Lync Server 2010 http://technet.microsoft.com/en-us/library/gg412794.aspx http://technet.microsoft.com/en-us/library/gg425917.aspx Configure a location information server http://technet.microsoft.com/en-us/library/gg398390.aspx Configure server pools for load balancing http://technet.microsoft.com/en-us/library/gg398827.aspx   Configuring Enterprise Voice (19 percent)   Objective Materials Configure voice policies http://technet.microsoft.com/en-us/library/gg398450.aspx Configure dial plans http://technet.microsoft.com/en-us/library/gg398922.aspx Manage routing http://technet.microsoft.com/en-us/library/gg425890.aspx http://technet.microsoft.com/en-us/library/gg182596.aspx Configure Microsoft Exchange Unified Messaging integration http://technet.microsoft.com/en-us/library/gg398768.aspx Configure dial-in conferencing http://technet.microsoft.com/en-us/library/gg398600.aspx Configure call admission control http://technet.microsoft.com/en-us/library/gg520942.aspx Configure Response Group Services (RGS) http://technet.microsoft.com/en-us/library/gg398584.aspx Configure Call Park and Unassigned Number http://technet.microsoft.com/en-us/library/gg399014.aspx http://technet.microsoft.com/en-us/library/gg425944.aspx Manage a Mediation Server pool and PSTN Gateway http://technet.microsoft.com/en-us/library/gg412780.aspx   Configuring Lync Server 2010 for External Access (19 percent)   Objective Materials Configure Edge Services http://technet.microsoft.com/en-us/library/gg398918.aspx Configure a firewall http://technet.microsoft.com/en-us/library/gg425882.aspx Configure a reverse proxy http://technet.microsoft.com/en-us/library/gg425779.aspx   Monitoring and Maintaining Lync Server 2010 (21 percent)   Objective Materials Back up and restore Lync Server 2010 http://technet.microsoft.com/en-us/library/gg412771.aspx Configure monitoring and archiving http://technet.microsoft.com/en-us/library/gg398199.aspx http://technet.microsoft.com/en-us/library/gg398507.aspx http://technet.microsoft.com/en-us/library/gg520950.aspx http://technet.microsoft.com/en-us/library/gg520990.aspx Implement troubleshooting tools http://technet.microsoft.com/en-us/library/gg425800.aspx Use PowerShell to test Lync Server 2010 http://technet.microsoft.com/en-us/library/gg398474.aspx

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  • very slow bridge detection

    - by deddihp
    hello everyone, I have setup some bridge interface with 4 ethernet port. My problem is, when they detect some network topology change, the bridge really need a lot of time to have done it. Is there any solution, so the bridge can detect topology change faster ? thanks.

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  • Oracle Service Registry 11gR1 Support for Oracle Fusion Middleware/SOA Suite 11g PatchSet 2

    - by Dave Berry
    As you might be aware, a few days back we released Patchset 2 (PS2) for several products in the Oracle Fusion Middleware 11g Release 1 stack including WebLogic Server and SOA Suite. Though there was no patchset released for Oracle Service Registry (OSR) 11g, being an integral part of Fusion Middleware & SOA, OSR 11g R1 ( 11.1.1.2 ) is fully certified with this release. Below is some recommended reading before installing OSR 11g with the new PS2 : OSR 11g R1 & SOA Suite 11g PS2 in a Shared WebLogic Domain If you intend to deploy OSR 11g in the same domain as the SOA Suite 11g, the primary recommendation is to install OSR 11g in its own Managed Server within the same Weblogic Domain as the SOA Suite, as the following diagram depicts : An important pre-requisite for this setup is to apply Patch 9499508, after installation. It basically replaces a registry library - wasp.jar - in the registry application deployed on your server, so as to enable co-deployment of OSR 11g & SOA Suite 11g in the same WLS Domain. The patch fixes a java.lang.LinkageError: loader constraint violation that appears in your OSR system log and is now available for download. The second, equally important, pre-requisite is to modify the setDomainEnv.sh/.cmd file for your WebLogic Domain to conditionally set the CLASSPATH so that the oracle.soa.fabric.jar library is not included in it for the Managed Server(s) hosting OSR 11g. Both these pre-requisites and other OSR 11g Topology Best Practices are covered in detail in the new Knowledge Base article Oracle Service Registry 11g Topology : Best Practices. Architecting an OSR 11g High Availability Setup Typically you would want to create a High Availability (HA) OSR 11g setup, especially on your production system. The following illustrates the recommended topology. The article, Hands-on Guide to Creating an Oracle Service Registry 11g High-Availability Setup on Oracle WebLogic Server 11g on OTN provides step-by-step instructions for creating such an active-active HA setup of multiple OSR 11g nodes with a Load Balancer in an Oracle WebLogic Server cluster environment. Additional Info The OSR Home Page on OTN is the hub for OSR and is regularly updated with latest information, articles, white papers etc. For further reading, this FAQ answers some common questions on OSR. The OSR Certification Matrix lists the Application Servers, Databases, Artifact Storage Tools, Web Browsers, IDEs, etc... that OSR 11g is certified against. If you hit any problems during OSR 11g installation, design time or runtime, the first place to look into is the logs. To find more details about which logs to check when & where, take a look at Where to find Oracle Service Registry Logs? Finally, if you have any questions or problems, there are various ways to reach us - on the SOA Governance forum on OTN, on the Community Forums or by contacting Oracle Support. Yogesh Sontakke and Dave Berry

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  • A Technique for Performing Cross-host Upgrades to FMW 11gR1

    - by reza.shafii
    The main tool used for the upgrade of iAS 10g mid-tier (data not stored in 10g meta-data repository schemas) environments to Fusion Middleware (FMW) 11gR1 is the FMW Upgrade Assistant (UA). This tool performs what we call an out-of-place upgrade which in a nut-shell means the following: Upgrade is performed by pointing the UA to a 10g source topology as well as an 11g destination topology. The destination topology must be created, using the standard FMW 11g installation and configuration process, prior to the execution of the UA. The UA carries over all of the required changes from the source environment to the destination. This approach has a number of advantages rooted in the fact that the source environment - which is presumably working well and serving its needs - is not disturbed during the upgrade process as the UA only performs read-only operations on it. The UA today can only perform such out-of-place upgrades when the source and destination topologies reside on the same machine. This can sometimes be an issue when the host on which the iAS 10g environment is installed is running at full capacity and installing new hardware for the purpose of the upgrade (in most cases what would be needed is extra memory) is completely infeasible. In such cases, upgrade across a different host is still possible by using the following technique: Backup your source environment and restore it on to a target machine. The backup and restore procedures for the iAS 10.1.2 components are described within this section of the release's Administration Guide. As described in the docs, the Oracle Application Server Backup and Recovery Tool provides capabilities for backing up the installation on one machine and restoring it on another which is exactly what you want to do for the purpose of cross host upgrade. Ensure that the restored environment on your target host is fully functional. Go through the upgrade steps on the target machine to perform the out-of-place upgrade using the UA. Although this process does add another big step to the overall upgrade process, it does make it possible to perform a cross-host upgrade to 11gR1 when necessary. The easiest approach would of course be to find a way of ensuring that the required hardware capacity for upgrade is available on the original 10g host. Using techniques such as scheduling the upgrade at low traffic times and/or temporarily stopping other processes running on the machine to clear up some memory might provide you the sufficient memory needed to perform the out-of-place upgrade and save you the need for using the backup/restore technique I have described in this post.

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  • Efficient visualization of a large voxelized volume

    - by Alejandro Piad
    Lets consider a large voxelized volume stored in an oct-tree or any other convenient structure. This volume represents, for instance, a landscape, where each block is either empty (air), or it has an specific material that will be later used to apply a texture. Voxels that are next to each other represent connected sections of the surface. What I need is an algorithm to generate a mesh from this voxels that represents the volume, with the following caracteristics: All the "holes" in the voxelized volume are correct. All the connections are correct, i.e. seamless. The surface appears smooth. In a broad sense, I want to somehow preserve the surface topology, meaning that connected sections remain connected in the resulting mesh and that the surface has a curvature that responds to the voxels topology. Imagine trying to render the Minecraft world but getting the mountain ladders to be smooth instead of blocky.

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  • Telesharp – An Application Repository for .NET applications

    - by cibrax
    A year ago, we released SO-Aware as our first product in Tellago Studios. SO-Aware represented a new way to manage web services and all the related artifacts like configuration, tests or monitoring data in the Microsoft stack. It was based on the idea of using a lightweight SOA governance approach with a central repository exposed through RESTful services. At that point, we thought the same idea could be extended to enterprise applications in general by providing a generic repository for many of the runtime or design time artifacts generated during the development like configuration, application description or topology (a high level view of the components that made up a system), logging information or binaries. It took us several months to give a form to that idea and implement it as a product, but it is finally here and I am very proud to announce the release today under the name of “TeleSharp”. Telesharp provides in a nutshell the following features, 1. Configure your application topology in a central repository. Application topology in this context means that you can decompose your application and describe it in terms of components and how they interact each other. For example, you can tell that the CRM system is made up of a couple of WCF services and a ASP.NET MVC front end. 2. Centralize configuration for your applications and components.  You can import existing .NET configuration sections into the repository and associate them to the different components. In addition, environment overrides are supported for the configuration sections. We provide tooling and extensions in Visual Studio for managing all the configuration, and a set of powershell commands for automating the configuration deployment. 3. Browse all the assemblies and types remotely in your application servers in a web browser using an interface similar to any of the existing .NET reflection tools. You can easily determine this way whether the server is running the correct version of your applications. 4. Centralize logging and exception management into the repository. You get different reports and a pivot viewer experience for browsing all the different logging information generated by your applications. In addition, TeleSharp provides different providers for pushing the logging information to the central repository using well-known frameworks like ELMAH, Log4Net, EntLib or even Windows ETW.  The central repository itself is implemented as a set of OData services that any application can easily consume using regular Http. You can read more details in this introductory post If you think this product can be a good fit in your organization, you can request a trial version in our Tellago Studios website.

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  • AlwaysOn Architecture Guide: Building a High Availability and Disaster Recovery Solution by Using AlwaysOn Availability Groups

    SQL Server 2012 AlwaysOn Availability Groups provides a unified high availability and disaster recovery (HADR) solution that improves upon legacy functionality previously found across disparate features. Prior to SQL Server 2012, several customers used database mirroring to provide local high availability within a data center, and log shipping for disaster recovery across a remote data center. With SQL Server 2012, this common design pattern can be replaced with an architecture that uses availability groups for both high availability and disaster recovery. This paper details the key topology requirements of this specific design pattern, including quorum configuration considerations, steps required to build the environment, and a workflow that shows how to handle a disaster recovery event in the new topology.

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  • HP ProCurve & Cisco switches interoperability

    - by Kamil Z
    I have a couple of questions regarding Cisco and HP ProCurve interoperability. Here's a link to pdf with my network topology. Can someone help me with basic VLAN configuration in such topology? Below there are some details of my configuration: # m_management_2 interface FastEthernet0/43 switchport access vlan 250 switchport mode access spanning-tree port-priority 32 spanning-tree cost 100 # MTA2-swmgmt1 vlan 1 name "DEFAULT_VLAN" untagged 1-48 ip address 10.10.249.190 255.255.255.128 exit # MTA2-swtr1 vlan 1 name "DEFAULT_VLAN" untagged 1-14,16-48 no ip address no untagged 15 exit vlan 100 name "MTA Mgmt" untagged 15 ip address 10.10.249.188 255.255.255.128 exit # MTA2-swtr2 vlan 1 name "DEFAULT_VLAN" untagged 1-14,16-48 no ip address no untagged 15 exit vlan 100 name "MTA Mgmt" untagged 15 ip address 10.10.249.189 255.255.255.128 exit I don't post MTA2-bcsw[12] configuration, because I wasn's successfull in this one yet. Every time I configure VLANs on MTA2-bcsw[12] Fa0/24 interface on m_management_2 goes down bacause of receiving tagged BPDUs on access port (there are no VLANs configured on MTA2-swmgmt1 because of fact that only 250 VLAN is allowed in this switch. Is it correct?). Can someone provide me some basic configuration for this topology? Second thing I want to ask is concept of connection from MTA2-swmgmt1 to MTA2-swtr[12] HP switches for the sake of management. How to configure such ports on HP switches (managed switch and manager switch). Is my actual configuration correct?

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  • MySQL Master-Master w/ multiple read slave cost effective setup in AWS

    - by Ross
    I've been evaluating Amazon Web Services RDS for MySQL and costing out potential scenarios involving a simple multi-AZ deployment read/write setup vs. a multi-AZ deployment mysql master (hot-standby) with additional read-only slaves. the issue I'm trying to cost-optimize includes their reserved instance vs on-demand instances. Situation 1: purchase reserved multi-az setup for Extra-large-hi-mem(17GB RAM) instance for $5200/yr and have my application query the master all the time. the problem is, if I don't need all the resources of the (17GB RAM) all the time and therefore, especially not a hot-standby, what alternatives for savings can a better topology create, like potentially situation 2 below: Situation 2: purchase reserved multi-az setup using smaller master instances than above for the master-master hot-standby to receive the writes only. Then create and load balance several read-only slaves off the master and add/remove and/or scale up/down the read slaves based on demand. This might only cost $1000 + the on-demand usage of the read slaves. My thinking is, if I have a variable read-intensive application load, with low write load, the single level topology in situation 1 means I'm paying for a lot of resources at the write level of topology when I don't need them there. My hope is that situation 2 can yield cost savings from smaller reserved instances on the master-master resource level allowing me to scale up and down and/or out on the read-level according to demand as needed. Does anyone see a downside to doing this or know of some reason this isn't possible with RDS? Any other thoughts or advice always welcome of course. Thanks in advance, R

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  • very slow bridge detection

    - by deddihp
    hello everyone, I have setup some bridge interface with 4 ethernet port. My problem is, when they detect some network topology change, the bridge really need a lot of time to have done it. Is there any solution, so the bridge can detect topology change faster ? thanks.

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  • Using Appendbuffers in unity for terrain generation

    - by Wardy
    Like many others I figured I would try and make the most of the monster processing power of the GPU but I'm having trouble getting the basics in place. CPU code: using UnityEngine; using System.Collections; public class Test : MonoBehaviour { public ComputeShader Generator; public MeshTopology Topology; void OnEnable() { var computedMeshPoints = ComputeMesh(); CreateMeshFrom(computedMeshPoints); } private Vector3[] ComputeMesh() { var size = (32*32) * 4; // 4 points added for each x,z pos var buffer = new ComputeBuffer(size, 12, ComputeBufferType.Append); Generator.SetBuffer(0, "vertexBuffer", buffer); Generator.Dispatch(0, 1, 1, 1); var results = new Vector3[size]; buffer.GetData(results); buffer.Dispose(); return results; } private void CreateMeshFrom(Vector3[] generatedPoints) { var filter = GetComponent<MeshFilter>(); var renderer = GetComponent<MeshRenderer>(); if (generatedPoints.Length > 0) { var mesh = new Mesh { vertices = generatedPoints }; var colors = new Color[generatedPoints.Length]; var indices = new int[generatedPoints.Length]; //TODO: build this different based on topology of the mesh being generated for (int i = 0; i < indices.Length; i++) { indices[i] = i; colors[i] = Color.blue; } mesh.SetIndices(indices, Topology, 0); mesh.colors = colors; mesh.RecalculateNormals(); mesh.Optimize(); mesh.RecalculateBounds(); filter.sharedMesh = mesh; } else { filter.sharedMesh = null; } } } GPU code: #pragma kernel Generate AppendStructuredBuffer<float3> vertexBuffer : register(u0); void genVertsAt(uint2 xzPos) { //TODO: put some height generation code here. // could even run marching cubes / dual contouring code. float3 corner1 = float3( xzPos[0], 0, xzPos[1] ); float3 corner2 = float3( xzPos[0] + 1, 0, xzPos[1] ); float3 corner3 = float3( xzPos[0], 0, xzPos[1] + 1); float3 corner4 = float3( xzPos[0] + 1, 0, xzPos[1] + 1 ); vertexBuffer.Append(corner1); vertexBuffer.Append(corner2); vertexBuffer.Append(corner3); vertexBuffer.Append(corner4); } [numthreads(32, 1, 32)] void Generate (uint3 threadId : SV_GroupThreadID, uint3 groupId : SV_GroupID) { uint2 currentXZ = unint2( groupId.x * 32 + threadId.x, groupId.z * 32 + threadId.z); genVertsAt(currentXZ); } Can anyone explain why when I call "buffer.GetData(results);" on the CPU after the compute dispatch call my buffer is full of Vector3(0,0,0), I'm not expecting any y values yet but I would expect a bunch of thread indexes in the x,z values for the Vector3 array. I'm not getting any errors in any of this code which suggests it's correct syntax-wise but maybe the issue is a logical bug. Also: Yes, I know I'm generating 4,000 Vector3's and then basically round tripping them. However, the purpose of this code is purely to learn how round tripping works between CPU and GPU in Unity.

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  • c# - what approach can I use to extend a group of classes that include implemented methods? (see des

    - by Greg
    Hi, I want to create an extendible package I am writing that has Topology, Node & Relationship classes. The idea is these base classes would have the various methods in them necessary to base graph traversal methods etc. I would then like to be able to reuse this by extending the package. For example the base requirements might see Relationship with a parentNode & childNode. Topology would have a List of Nodes and List of Relationships. Topology would have methods like FindChildren(int depth). Then the usage would be to extend these such that additional attributes for Node and Relationships could be added etc. QUESTION - What would be the best approach to package & expose the base level classes/methods? (it's kind of like a custom collection but with multiple facets). Would the following concepts come into play: Interfaces - would this be a good idea to have ITopology, INode etc, or is this not required as the user would extend these classes anyway? Abstract Classes - would the base classes be abstract classes Custom Generic Collection - would some approach using this concept assist (but how would this work if there are the 3 different classes) thanks

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  • Generating and collaborating on network map diagrams?

    - by Ian C.
    I have to turn out some network topology maps for very large networks. I'd like the format for the maps to be something other people can also edit and contribute to regardless of what software I'm using on my Mac to build them. I don't mind spending money on my end for software, but I can't require that my clients spend any money. I also can't promise my clients are also using OS X -- they could be running Linux or Windows. Is there a best software application on OS X for producing maps that I can share with other, non-OS X, users? Is there a best format for sharing topology maps that I should use when exporting the maps to disk?

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  • How can I use the Boost Graph Library to lay out verticies?

    - by Mike
    I'm trying to lay out vertices using the Boost Graph Library. However, I'm running into some compilation issues which I'm unsure about. Am I using the BGL in an improper manner? My code is: PositionVec position_vec(2); PositionMap position(position_vec.begin(), get(vertex_index, g)); int iterations = 100; double width = 100.0; double height = 100.0; minstd_rand gen; rectangle_topology<> topology(gen, 0, 0, 100, 100); fruchterman_reingold_force_directed_layout(g, position, topology); //Compile fails on this line The diagnostics produced by clang++(I've also tried GCC) are: In file included from test.cpp:2: /Volumes/Data/mike/Downloads/boost_1_43_0/boost/graph/fruchterman_reingold.hpp:95:3: error: no member named 'dimensions' in 'boost::simple_point<double>' BOOST_STATIC_ASSERT (Point::dimensions == 2); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from test.cpp:2: In file included from /Volumes/Data/mike/Downloads/boost_1_43_0/boost/graph/fruchterman_reingold.hpp:13: In file included from /Volumes/Data/mike/Downloads/boost_1_43_0/boost/graph/graph_traits.hpp:15: In file included from /Volumes/Data/mike/Downloads/boost_1_43_0/boost/tuple/tuple.hpp:24: /Volumes/Data/mike/Downloads/boost_1_43_0/boost/static_assert.hpp:118:49: note: instantiated from: sizeof(::boost::STATIC_ASSERTION_FAILURE< BOOST_STATIC_ASSERT_BOOL_CAST( B ) >)>\ ^ In file included from test.cpp:2: /Volumes/Data/mike/Downloads/boost_1_43_0/boost/graph/fruchterman_reingold.hpp:95:3: note: instantiated from: BOOST_STATIC_ASSERT (Point::dimensions == 2); ^ ~~~~~~~ /Volumes/Data/mike/Downloads/boost_1_43_0/boost/graph/fruchterman_reingold.hpp:95:31: note: instantiated from: BOOST_STATIC_ASSERT (Point::dimensions == 2); ~~~~~~~^ /Volumes/Data/mike/Downloads/boost_1_43_0/boost/graph/fruchterman_reingold.hpp:417:19: note: in instantiation of template class 'boost::grid_force_pairs<boost::rectangle_topology<boost::random::linear_congruential<int, 48271, 0, 2147483647, 399268537> >, boost::iterator_property_map<__gnu_cxx::__normal_iterator<boost::simple_point<double> *, std::vector<boost::simple_point<double>, std::allocator<boost::simple_point<double> > > >, boost::vec_adj_list_vertex_id_map<boost::property<boost::vertex_name_t, std::basic_string<char>, boost::no_property>, unsigned long>, boost::simple_point<double>, boost::simple_point<double> &> >' requested here make_grid_force_pairs(topology, position, g)), ^ /Volumes/Data/mike/Downloads/boost_1_43_0/boost/graph/fruchterman_reingold.hpp:431:3: note: in instantiation of function template specialization 'boost::fruchterman_reingold_force_directed_layout<boost::rectangle_topology<boost::random::linear_congruential<int, 48271, 0, 2147483647, 399268537> >, boost::adjacency_list<boost::listS, boost::vecS, boost::undirectedS, boost::property<boost::vertex_name_t, std::basic_string<char>, boost::no_property>, boost::no_property, boost::no_property, boost::listS>, boost::iterator_property_map<__gnu_cxx::__normal_iterator<boost::simple_point<double> *, std::vector<boost::simple_point<double>, std::allocator<boost::simple_point<double> > > >, boost::vec_adj_list_vertex_id_map<boost::property<boost::vertex_name_t, std::basic_string<char>, boost::no_property>, unsigned long>, boost::simple_point<double>, boost::simple_point<double> &>, boost::square_distance_attractive_force, boost::attractive_force_t, boost::no_property>' requested here fruchterman_reingold_force_directed_layout ^ test.cpp:48:3: note: in instantiation of function template specialization 'boost::fruchterman_reingold_force_directed_layout<boost::rectangle_topology<boost::random::linear_congruential<int, 48271, 0, 2147483647, 399268537> >, boost::adjacency_list<boost::listS, boost::vecS, boost::undirectedS, boost::property<boost::vertex_name_t, std::basic_string<char>, boost::no_property>, boost::no_property, boost::no_property, boost::listS>, boost::iterator_property_map<__gnu_cxx::__normal_iterator<boost::simple_point<double> *, std::vector<boost::simple_point<double>, std::allocator<boost::simple_point<double> > > >, boost::vec_adj_list_vertex_id_map<boost::property<boost::vertex_name_t, std::basic_string<char>, boost::no_property>, unsigned long>, boost::simple_point<double>, boost::simple_point<double> &> >' requested here fruchterman_reingold_force_directed_layout(g, position, topology); ^ 1 error generated.

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  • SQLAuthority News – 2 Whitepapers Announced – AlwaysOn Architecture Guide: Building a High Availability and Disaster Recovery Solution

    - by pinaldave
    Understanding AlwaysOn Architecture is extremely important when building a solution with failover clusters and availability groups. Microsoft has just released two very important white papers related to this subject. Both the white papers are written by top experts in industry and have been reviewed by excellent panel of experts. Every time I talk with various organizations who are adopting the SQL Server 2012 they are always excited with the concept of the new feature AlwaysOn. One of the requests I often here is the related to detailed documentations which can help enterprises to build a robust high availability and disaster recovery solution. I believe following two white paper now satisfies the request. AlwaysOn Architecture Guide: Building a High Availability and Disaster Recovery Solution by Using AlwaysOn Availability Groups SQL Server 2012 AlwaysOn Availability Groups provides a unified high availability and disaster recovery (HADR) solution. This paper details the key topology requirements of this specific design pattern on important concepts like quorum configuration considerations, steps required to build the environment, and a workflow that shows how to handle a disaster recovery. AlwaysOn Architecture Guide: Building a High Availability and Disaster Recovery Solution by Using Failover Cluster Instances and Availability Groups SQL Server 2012 AlwaysOn Failover Cluster Instances (FCI) and AlwaysOn Availability Groups provide a comprehensive high availability and disaster recovery solution. This paper details the key topology requirements of this specific design pattern on important concepts like asymmetric storage considerations, quorum model selection, quorum votes, steps required to build the environment, and a workflow. If you are not going to implement AlwaysOn feature, this two Whitepapers are still a great reference material to review as it will give you complete idea regarding what it takes to implement AlwaysOn architecture and what kind of efforts needed. One should at least bookmark above two white papers for future reference. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, SQL White Papers, T SQL, Technology Tagged: AlwaysOn

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  • Seeking an C/C++ OBJ geometry read/write that does not modify the representation

    - by Blake Senftner
    I am seeking a means to read and write OBJ geometry files with logic that does not modify the geometry representation. i.e. read geometry, immediately write it, and a diff of the source OBJ and the one just written will be identical. Every OBJ writing utility I've been able to find online fails this test. I am writing small command line tools to modify my OBJ geometries, and I need to write my results, not just read the geometry for rendering purposes. Simply needing to write the geometry knocks out 95% of the OBJ libraries on the web. Also, many of the popular libraries modify the geometry representation. For example, Nat Robbin's GLUT library includes the GLM library, which both converts quads to triangles, as well as reverses the topology (face ordering) of the geometry. It's still the same geometry, but if your tool chain expects a given topology, such as for rigging or morph targets, then GLM is useless. I'm not rendering in these tools, so dependencies like OpenGL or GLUT make no sense. And god forbid, do not "optimize" the geometry! Redundant vertices are on purpose for maintaining oneself on cache with our weird little low memory mobile devices.

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  • Part 1 - Load Testing In The Cloud

    - by Tarun Arora
    Azure is fascinating, but even more fascinating is the marriage of Azure and TFS! Introduction Recently a client I worked for had 2 major business critical applications being delivered, with very little time budgeted for Performance testing, we immediately hit a bottleneck when the performance testing phase started, the in house infrastructure team could not support the hardware requirements in the short notice. It was suggested that the performance testing be performed on one of the QA environments which was a fraction of the production environment. This didn’t seem right, the team decided to turn to the cloud. The team took advantage of the elasticity offered by Azure, starting with a single test agent which was provisioned and ready for use with in 30 minutes the team scaled up to 17 test agents to perform a very comprehensive performance testing cycle. Issues were identified and resolved but the highlight was that the cost of running the ‘test rig’ proved to be less than if hosted on premise by the infrastructure team. Thank you for taking the time out to read this blog post, in the series of posts, I’ll try and cover the start to end of everything you need to know to use Azure to build your Test Rig in the cloud. But Why Azure? I have my own Data Centre… If the environment is provisioned in your own datacentre, - No matter what level of service agreement you may have with your infrastructure team there will be down time when the environment is patched - How fast can you scale up or down the environments (keeping the enterprise processes in mind) Administration, Cost, Flexibility and Scalability are the areas you would want to think around when taking the decision between your own Data Centre and Azure! How is Microsoft's Public Cloud Offering different from Amazon’s Public Cloud Offering? Microsoft's offering of the Cloud is a hybrid of Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) which distinguishes Microsoft's offering from other providers such as Amazon (Amazon only offers IaaS). PaaS – Platform as a Service IaaS – Infrastructure as a Service Fills the needs of those who want to build and run custom applications as services. Similar to traditional hosting, where a business will use the hosted environment as a logical extension of the on-premises datacentre. A service provider offers a pre-configured, virtualized application server environment to which applications can be deployed by the development staff. Since the service providers manage the hardware (patching, upgrades and so forth), as well as application server uptime, the involvement of IT pros is minimized. On-demand scalability combined with hardware and application server management relieves developers from infrastructure concerns and allows them to focus on building applications. The servers (physical and virtual) are rented on an as-needed basis, and the IT professionals who manage the infrastructure have full control of the software configuration. This kind of flexibility increases the complexity of the IT environment, as customer IT professionals need to maintain the servers as though they are on-premises. The maintenance activities may include patching and upgrades of the OS and the application server, load balancing, failover clustering of database servers, backup and restoration, and any other activities that mitigate the risks of hardware and software failures.   The biggest advantage with PaaS is that you do not have to worry about maintaining the environment, you can focus all your time in solving the business problems with your solution rather than worrying about maintaining the environment. If you decide to use a VM Role on Azure, you are asking for IaaS, more on this later. A nice blog post here on the difference between Saas, PaaS and IaaS. Now that we are convinced why we should be turning to the cloud and why in specific Azure, let’s discuss about the Test Rig. The Load Test Rig – Topology Now the moment of truth, Of course a big part of getting value from cloud computing is identifying the most adequate workloads to take to the cloud, so I’ve decided to try to make a Load Testing rig where the Agents are running on Windows Azure.   I’ll talk you through the above Topology, - User: User kick starts the load test run from the developer workstation on premise. This passes the request to the Test Controller. - Test Controller: The Test Controller is on premise connected to the same domain as the developer workstation. As soon as the Test Controller receives the request it makes use of the Windows Azure Connect service to orchestrate the test responsibilities to all the Test Agents. The Windows Azure Connect endpoint software must be active on all Azure instances and on the Controller machine as well. This allows IP connectivity between them and, given that the firewall is properly configured, allows the Controller to send work loads to the agents. In parallel, the Controller will collect the performance data from the agents, using the traditional WMI mechanisms. - Test Agents: The Test Agents are on the Windows Azure Public Cloud, as soon as the test controller issues instructions to the test agents, the test agents start executing the load tests. The HTTP requests are issued against the web server on premise, the results are captured by the test agents. And finally the results are passed over to the controller. - Servers: The Web Server and DB Server are hosted on premise in the datacentre, this is usually the case with business critical applications, you probably want to manage them your self. Recap and What’s next? So, in the introduction in the series of blog posts on Load Testing in the cloud I highlighted why creating a test rig in the cloud is a good idea, what advantages does Windows Azure offer and the Test Rig topology that I will be using. I would also like to mention that i stumbled upon this [Video] on Azure in a nutshell, great watch if you are new to Windows Azure. In the next post I intend to start setting up the Load Test Environment and discuss pricing with respect to test agent machine types that will be used in the test rig. Hope you enjoyed this post, If you have any recommendations on things that I should consider or any questions or feedback, feel free to add to this blog post. Remember to subscribe to http://feeds.feedburner.com/TarunArora.  See you in Part II.   Share this post : CodeProject

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  • JWT Token Security with Fusion Sales Cloud

    - by asantaga
    When integrating SalesCloud with a 3rd party application you often need to pass the users identity to the 3rd party application so that  The 3rd party application knows who the user is The 3rd party application needs to be able to do WebService callbacks to Sales Cloud as that user.  Until recently without using SAML, this wasn't easily possible and one workaround was to pass the username, potentially even the password, from Sales Cloud to the 3rd party application using URL parameters.. With Oracle Fusion R8 we now have a proper solution and that is called "JWT Token support". This is based on the industry JSON Web Token standard , for more information see here JWT Works by allowing the user the ability to generate a token (lasts a short period of time) for a specific application. This token is then passed to the 3rd party application as a GET parameter.  The 3rd party application can then call into SalesCloud and use this token for all webservice calls, the calls will be executed as the user who generated the token in the first place, or they can call a special HR WebService (UserService-findSelfUserDetails() ) with the token and Fusion will respond with the users details. Some more details  The following will go through the scenario that you want to embed a 3rd party application within a WebContent frame (iFrame) within the opportunity screen.  1. Define your application using the topology manager in setup and maintenance  See this documentation link on topology manager 2. From within your groovy script which defines the iFrame you wish to embed, write some code which looks like this : def thirdpartyapplicationurl = oracle.topologyManager.client.deployedInfo.DeployedInfoProvider.getEndPoint("My3rdPartyApplication" )def crmkey= (new oracle.apps.fnd.applcore.common.SecuredTokenBean().getTrustToken())def url = thirdpartyapplicationurl +"param1="+OptyId+"&jwt ="+crmkeyreturn (url)  This snippet generates a URL which contains The Hostname/endpoint of the 3rd party application Two Parameters The opportunityId stored in parameter "param1" The JWT Token store in  parameter "jwt" 3. From your 3rd Party Application you now have two options Execute a webservice call by first setting the header parameter "Authentication" to the JWT token. The webservice call will be executed against Fusion Applications "As" the user who execute the process To find out "Who you are" , set the header parameter to "Authentication" and execute the special webservice call findSelfUserDetails(), in the UserDetailsService For more information  Oracle Sales Cloud Documentation , specific chapter on JWT Token OTN samples, specifically the Rich UI With JWT Token Sample Oracle Fusion Applications General Documentation

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  • Manage and Monitor Identity Ranges in SQL Server Transactional Replication

    - by Yaniv Etrogi
    Problem When using transactional replication to replicate data in a one way topology from a publisher to a read-only subscriber(s) there is no need to manage identity ranges. However, when using  transactional replication to replicate data in a two way replication topology - between two or more servers there is a need to manage identity ranges in order to prevent a situation where an INSERT commands fails on a PRIMARY KEY violation error  due to the replicated row being inserted having a value for the identity column which already exists at the destination database. Solution There are two ways to address this situation: Assign a range of identity values per each server. Work with parallel identity values. The first method requires some maintenance while the second method does not and so the scripts provided with this article are very useful for anyone using the first method. I will explore this in more detail later in the article. In the first solution set server1 to work in the range of 1 to 1,000,000,000 and server2 to work in the range of 1,000,000,001 to 2,000,000,000.  The ranges are set and defined using the DBCC CHECKIDENT command and when the ranges in this example are well maintained you meet the goal of preventing the INSERT commands to fall due to a PRIMARY KEY violation. The first insert at server1 will get the identity value of 1, the second insert will get the value of 2 and so on while on server2 the first insert will get the identity value of 1000000001, the second insert 1000000002 and so on thus avoiding a conflict. Be aware that when a row is inserted the identity value (seed) is generated as part of the insert command at each server and the inserted row is replicated. The replicated row includes the identity column’s value so the data remains consistent across all servers but you will be able to tell on what server the original insert took place due the range that  the identity value belongs to. In the second solution you do not manage ranges but enforce a situation in which identity values can never get overlapped by setting the first identity value (seed) and the increment property one time only during the CREATE TABLE command of each table. So a table on server1 looks like this: CREATE TABLE T1 (  c1 int NOT NULL IDENTITY(1, 5) PRIMARY KEY CLUSTERED ,c2 int NOT NULL ); And a table on server2 looks like this: CREATE TABLE T1(  c1 int NOT NULL IDENTITY(2, 5) PRIMARY KEY CLUSTERED ,c2 int NOT NULL ); When these two tables are inserted the results of the identity values look like this: Server1:  1, 6, 11, 16, 21, 26… Server2:  2, 7, 12, 17, 22, 27… This assures no identity values conflicts while leaving a room for 3 additional servers to participate in this same environment. You can go up to 9 servers using this method by setting an increment value of 9 instead of 5 as I used in this example. Continues…

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  • NUMA-aware placement of communication variables

    - by Dave
    For classic NUMA-aware programming I'm typically most concerned about simple cold, capacity and compulsory misses and whether we can satisfy the miss by locally connected memory or whether we have to pull the line from its home node over the coherent interconnect -- we'd like to minimize channel contention and conserve interconnect bandwidth. That is, for this style of programming we're quite aware of where memory is homed relative to the threads that will be accessing it. Ideally, a page is collocated on the node with the thread that's expected to most frequently access the page, as simple misses on the page can be satisfied without resorting to transferring the line over the interconnect. The default "first touch" NUMA page placement policy tends to work reasonable well in this regard. When a virtual page is first accessed, the operating system will attempt to provision and map that virtual page to a physical page allocated from the node where the accessing thread is running. It's worth noting that the node-level memory interleaving granularity is usually a multiple of the page size, so we can say that a given page P resides on some node N. That is, the memory underlying a page resides on just one node. But when thinking about accesses to heavily-written communication variables we normally consider what caches the lines underlying such variables might be resident in, and in what states. We want to minimize coherence misses and cache probe activity and interconnect traffic in general. I don't usually give much thought to the location of the home NUMA node underlying such highly shared variables. On a SPARC T5440, for instance, which consists of 4 T2+ processors connected by a central coherence hub, the home node and placement of heavily accessed communication variables has very little impact on performance. The variables are frequently accessed so likely in M-state in some cache, and the location of the home node is of little consequence because a requester can use cache-to-cache transfers to get the line. Or at least that's what I thought. Recently, though, I was exploring a simple shared memory point-to-point communication model where a client writes a request into a request mailbox and then busy-waits on a response variable. It's a simple example of delegation based on message passing. The server polls the request mailbox, and having fetched a new request value, performs some operation and then writes a reply value into the response variable. As noted above, on a T5440 performance is insensitive to the placement of the communication variables -- the request and response mailbox words. But on a Sun/Oracle X4800 I noticed that was not the case and that NUMA placement of the communication variables was actually quite important. For background an X4800 system consists of 8 Intel X7560 Xeons . Each package (socket) has 8 cores with 2 contexts per core, so the system is 8x8x2. Each package is also a NUMA node and has locally attached memory. Every package has 3 point-to-point QPI links for cache coherence, and the system is configured with a twisted ladder "mobius" topology. The cache coherence fabric is glueless -- there's not central arbiter or coherence hub. The maximum distance between any two nodes is just 2 hops over the QPI links. For any given node, 3 other nodes are 1 hop distant and the remaining 4 nodes are 2 hops distant. Using a single request (client) thread and a single response (server) thread, a benchmark harness explored all permutations of NUMA placement for the two threads and the two communication variables, measuring the average round-trip-time and throughput rate between the client and server. In this benchmark the server simply acts as a simple transponder, writing the request value plus 1 back into the reply field, so there's no particular computation phase and we're only measuring communication overheads. In addition to varying the placement of communication variables over pairs of nodes, we also explored variations where both variables were placed on one page (and thus on one node) -- either on the same cache line or different cache lines -- while varying the node where the variables reside along with the placement of the threads. The key observation was that if the client and server threads were on different nodes, then the best placement of variables was to have the request variable (written by the client and read by the server) reside on the same node as the client thread, and to place the response variable (written by the server and read by the client) on the same node as the server. That is, if you have a variable that's to be written by one thread and read by another, it should be homed with the writer thread. For our simple client-server model that means using split request and response communication variables with unidirectional message flow on a given page. This can yield up to twice the throughput of less favorable placement strategies. Our X4800 uses the QPI 1.0 protocol with source-based snooping. Briefly, when node A needs to probe a cache line it fires off snoop requests to all the nodes in the system. Those recipients then forward their response not to the original requester, but to the home node H of the cache line. H waits for and collects the responses, adjudicates and resolves conflicts and ensures memory-model ordering, and then sends a definitive reply back to the original requester A. If some node B needed to transfer the line to A, it will do so by cache-to-cache transfer and let H know about the disposition of the cache line. A needs to wait for the authoritative response from H. So if a thread on node A wants to write a value to be read by a thread on node B, the latency is dependent on the distances between A, B, and H. We observe the best performance when the written-to variable is co-homed with the writer A. That is, we want H and A to be the same node, as the writer doesn't need the home to respond over the QPI link, as the writer and the home reside on the very same node. With architecturally informed placement of communication variables we eliminate at least one QPI hop from the critical path. Newer Intel processors use the QPI 1.1 coherence protocol with home-based snooping. As noted above, under source-snooping a requester broadcasts snoop requests to all nodes. Those nodes send their response to the home node of the location, which provides memory ordering, reconciles conflicts, etc., and then posts a definitive reply to the requester. In home-based snooping the snoop probe goes directly to the home node and are not broadcast. The home node can consult snoop filters -- if present -- and send out requests to retrieve the line if necessary. The 3rd party owner of the line, if any, can respond either to the home or the original requester (or even to both) according to the protocol policies. There are myriad variations that have been implemented, and unfortunately vendor terminology doesn't always agree between vendors or with the academic taxonomy papers. The key is that home-snooping enables the use of a snoop filter to reduce interconnect traffic. And while home-snooping might have a longer critical path (latency) than source-based snooping, it also may require fewer messages and less overall bandwidth. It'll be interesting to reprise these experiments on a platform with home-based snooping. While collecting data I also noticed that there are placement concerns even in the seemingly trivial case when both threads and both variables reside on a single node. Internally, the cores on each X7560 package are connected by an internal ring. (Actually there are multiple contra-rotating rings). And the last-level on-chip cache (LLC) is partitioned in banks or slices, which with each slice being associated with a core on the ring topology. A hardware hash function associates each physical address with a specific home bank. Thus we face distance and topology concerns even for intra-package communications, although the latencies are not nearly the magnitude we see inter-package. I've not seen such communication distance artifacts on the T2+, where the cache banks are connected to the cores via a high-speed crossbar instead of a ring -- communication latencies seem more regular.

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  • NUMA-aware constructs for java.util.concurrent

    - by Dave
    The constructs in the java.util.concurrent JSR-166 "JUC" concurrency library are currently NUMA-oblivious. That's because we currently don't have the topology discovery infrastructure and underpinnings in place that would allow and enable NUMA-awareness. But some quick throw-away prototypes show that it's possible to write NUMA-aware library code. I happened to use JUC Exchanger as a research vehicle. Another interesting idea is to adapt fork-join work-stealing to favor stealing from queues associated with 'nearby' threads.

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  • 2D Polygon Triangulation

    - by BleedObsidian
    I am creating a game engine using the JBox2D physics engine. It only allows you to create polygon fixtures up to 8 vertices, To create a body with more than 8 vertices, you need to create multiple fixtures for the body. My question is, How can I split the polygons a user creates into smaller polygons for JBox2D? Also, what topology should I use when splitting the polygons and why? (If JBox2D can have up to 8 vertices, why not split polygons into 8 per polygon)

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  • A first look at SQL Server 2012 Availability Group Wait Statistics

    If you are trouble-shooting an AlwaysOn Availability Group topology, a study of the wait statistics will give a pointer to many of the causes of problems. Although several wait types are documented, there is nothing like practical experiment to familiarize yourself with new wait stats, and Joe Sack demonstrates a way of testing the sort of waits generated by an availability group under various circumstances.

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  • Cisco Catalyst 3550 + Alteon 184 Load-Balancing Issues...

    - by upkels
    I have just deployed a couple Cisco Catalyst 3550 switches, and a couple Alteon 184 Web Switches for load-balancing. I can ping all RIPs and VIPs to/from the Alteon. Topology Before: (server) <- (Alteon) <- (Internet) Topology Now: (server) <- (3550) <- Alteon <- (Internet) Cisco Port Configuration (Alteon Uplink Port): description LB_1_PORT_9_PRIMARY switchport access vlan 10 switchport mode access switchport nonegotiate speed 100 duplex full Alteon Port 9 Configuration (VLAN 10 WAN): >> Main# /c/port 9/cur Current Port 9 configuration: enabled pref fast, backup gig, PVID 10, BW Contract 1024 name UPLINK >> Main# /c/port 9/fast/cur Current Port 9 Fast link configuration: speed 100, mode full duplex, fctl none, auto off Cisco Configuration (Load-Balanced Servers Port): description LB_1_PORT_1_PRIMARY switchport access vlan 30 switchport mode access switchport nonegotiate speed 100 duplex full Alteon Port 1 Configuration (VLAN 30 LOAD-BALANCED LAN): >> Main# /c/port 1/cur Current Port 1 configuration: enabled pref fast, backup gig, PVID 30, BW Contract 1024 name LB_PORT_1 >> Main# /c/port 1/fast/cur Current Port 1 Fast link configuration: speed 100, mode full duplex, fctl both, auto on Each of my servers are on vlan 10 and 30, properly communicating. I have tried to turn on VLAN tagging on the Alteon, however it seems to cause all communications to stop working. When I tcpdump -i vlan30 on any of the webservers, I see normal ARP communications, and some STP communications, which may or may not be part of the problem: ... 15:00:51.035882 STP 802.1d, Config, Flags [none], bridge-id 801e.00:11:5c:62:fe:80.8041, length 42 15:00:51.493154 IP 10.1.1.254.33923 > 10.1.1.1.http: Flags [S], seq 707324510, win 8760, options [mss 1460], length 0 15:00:51.493336 IP 10.1.1.1.http > 10.1.1.254.33923: Flags [S.], seq 3981707623, ack 707324511, win 65535, options [mss 1460], len gth 0 15:00:51.493778 ARP, Request who-has 10.1.3.1 tell 10.1.3.254, length 46 etc... I'm not sure if I've provided enough information, so please let me know if any more is necessary. Thank you!

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