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After the test parameters have been set you must initialize the test environment. The initialization process will create the mailboxes, distribution lists, contacts, and other objects needed to complete the tests. Exchange Load Generator does not have a method for collecting information about the performance of the Exchange environment. It does, however, add a number of performance counters to the client computer to monitor the progress of the tests. All other performance monitoring should be done using Performance Monitor or another monitoring tool to determine how well the server is performing under load and whether performance is acceptable. After initialization has completed, be sure to start any monitoring tools needed and then run the simulation you have defined. At the end of the simulation you will be provided with a summary report to review and verify that the test ran correctly. Be sure to verify that the tests ran correctly and review the performance data collected with a server hardware and performance SME to pinpoint any bottlenecks or other issues.

public virtual ViewEngineResult FindView( ControllerContext context, string viewName, string masterName, bool useCache) { string[] searchedViewLocations; string[] searchedMasterLocations; ... // Get the controller name for the current action String requiredString = context.RouteData.GetRequiredString("controller"); // Get the physical path for the ASPX template to use for the specified view String viewTemplatePath = this.GetPath(context, this.ViewLocationFormats, "ViewLocationFormats", viewName, requiredString, "View", useCache, out searchedViewLocations); // Get the physical path for the MASTER template to use for the specified master String masterTemplatePath = this.GetPath(context, this.MasterLocationFormats, "MasterLocationFormats", masterName, requiredString, "Master", useCache, out searchedMasterLocations); // Check physical paths if (!String.IsNullOrEmpty(viewTemplatePath) && (!String.IsNullOrEmpty(masterTemplatePath) || String.IsNullOrEmpty(masterName))) { // Create the view object, and pack it into a ViewEngineResult container return new ViewEngineResult( this.CreateView(context, viewTemplatePath, masterTemplatePath), this); } // If here, then view or master couldn't be resolved. The ViewEngineResult // being returned then contains only the list of locations unsuccessfully // searched. This information is used to arrange the exception message. return new ViewEngineResult( searchedViewLocations.Union<String>(searchedMasterLocations)); }

This example uses a pixel shader to blend two textures. The pixel shader implements a ps_2_x shader, which now requires texture coordinate registers and samplers to be declared before they re used in shader code. Because a programmable shader does not use the multitexture blender, there is no need to use the SetTextureStageState API to configure the blender.

You have two fundamental choices when it comes to scaling a server infrastructure: scale up or scale out Scaling up is the path of creating more robust single solutions with more resources In its simplest form this includes adding memory or disk into a server As a solution is scaled up, it becomes more costly and a single failure can impact more mailboxes and more transactions As you add more mailboxes, you must also add more processing, memory, and storage to support these mailboxes To fulfill these requirements as you scale up the density and speed of processors, memory and storage also need to increase Scaling out is the process of adding servers with the needed hardware to provide additional resources Simply put, this might entail adding a second Mailbox sever to host additional mailboxes.

Scaling out is usually done with lower-cost hardware and allows failure risk to be spread across more servers For example, take Litware s Fresno datacenter, where they are considering deploying 25,000 mailboxes on 10 Mailbox servers Each Mailbox server would host 2,500 active mailboxes If Litware chooses to scale up the Mailboxes servers and only deploy 5, each server would host 5,000 active mailboxes Scaling up each server would require twice as many resources available and adds to the hardware cost If a failure of the server occurs, twice as many mailboxes will be affected The Exchange Mailbox Role Calculator estimates this scale-up deployment requires roughly 15,000 megacycles and 48 GB of RAM for each server It also estimates the scale-out server configuration requires only 8,500 megacycles and 32 GB of RAM.

Using list prices, the scale-up server configuration with more processors and memory costs almost 40 percent more than the scale-out configuration If you take into account the software cost associated with scaling out, the price difference begins to even out The more servers deployed, the more software licensing needed to support them; even so, the total capital cost of this example is still lower for the scale-out configuration..

GetPath is a private member of the VirtualPathProviderViewEngine class, which contains the logic for resolving names to files. Ultimately, the method loops through a predefined list of location names and attempts to see whether a match can be found according to naming