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You might require an application to run on various .NET Micro Framework hardware platforms. In certain parts of your application, you may need to run special hardware-dependent code. One way you can achieve this is by conditionally compiling with #if, #else, and #endif. If you take this approach, you need to recompile your application for each platform separately. Another option is to determine, at runtime, on which platform the application runs and decide then which code to execute. Information about the platform at runtime can be determined with the Microsoft.SPOT.Hardware.SystemID class. Listing 5-26 shows the members of this class. You can find the class in the Microsoft.SPOT.Hardware namespace. However, unlike the hardware classes in the namespace that were already discussed, Microsoft.SPOT.Hardware.SystemID is not in the Microsoft.SPOT.Hardware.dll assembly. Instead, it s in the Microsoft .SPOT.Native.dll assembly. The class is defined as static and possesses only static properties. The properties provide information not in string form but as integer IDs. Each manufacturer and each hardware model has a unique number assigned. Listing 5-26. The Microsoft.SPOT.Hardware.SystemID Class namespace Microsoft.SPOT.Hardware { public static class SystemID { public static byte Model { get; } public static byte OEM { get; } public static ushort SKU { get; } } } The application in Listing 5-27 prints all available system information.

Figure 5-3 Concurrent users vs transactions per second Initially, as you add concurrent users, the number of transactions increases At some point, however, adding additional users does not increase the number of transactions you can perform per second the graph tends to drop off The throughput has peaked and now response time starts to increase (you are doing the same number of transactions per second, but the end users are observing slower response times) As you continue adding users, you will find that the throughput will actually start to decline The concurrent user count before this drop-off is the maximum degree of concurrency you want to allow on the system Beyond this point, the system becomes flooded and queues begin forming to perform work Much like a backup at a tollbooth, the system can no longer keep up.

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Given the ListItem class and the sorting capabilities of the .NET Framework, the DoSort() method is not hard to implement: Private Sub DoSort() Dim index As Integer mSortIndex.Clear() If mSortBy Is Nothing Then For Each obj As T In mList mSortIndex.Add(New ListItem(obj, index)) index += 1 Next Else For Each obj As T In mList mSortIndex.Add(New ListItem(mSortBy.GetValue(obj), index)) index += 1 Next End If mSortIndex.Sort() mSorted = True OnListChanged(New ListChangedEventArgs(ListChangedType.Reset, 0)) End Sub If mSortBy is Nothing (which is quite possible, as it is optional), then each child object is sorted as is. In other words, it is the value of the child object itself that determines the sort order, rather than any specific property on the child object. In this case, DoSort() loops through every item in the original collection, creating a ListItem object for which the key value is the child object itself and the index is the location of the child object within the original collection: For Each obj As T In mList mSortIndex.Add(New ListItem(obj, index)) index += 1 Next

Not only does response time rise dramatically at this point, but throughput from the system may fall as well as the overhead of simply context switching and sharing resources between too many consumers takes additional resources itself If we limit the maximum concurrency to the point right before this drop, we can sustain maximum throughput and minimize the increase in response time for most users Shared server allows us to limit the maximum degree of concurrency on our system to this number An analogy for this process could be a simple door The width of the door and the width of people limit the maximum people per minute throughput At low load, there is no problem; however, as more people approach, some forced waiting occurs (CPU time slice).

This scenario is quite common when creating a sorted view against an array of type String or Integer, since there s no meaning in setting an mSortBy value for those types. For more complex child objects, however, an mSortBy value is typically supplied. In that case, a bit of reflection is used to retrieve the specified property value from the child object. That property value is then used as the key value for the ListItem object: For Each obj As T In mList mSortIndex.Add(New ListItem(mSortBy.GetValue(obj), index)) index += 1 Next Remember that mSortBy is a System.ComponentModel.PropertyDescriptor object corresponding to the key property. PropertyDescriptor provides a GetValue() method that retrieves the property value from the specified child object. Whether or not mSortBy is Nothing, the end result is a list of ListItem objects in a generic List(Of ListItem) collection named mSortIndex. The List(Of T) class provides a Sort() method that sorts the items in the list. Since ListItem implements IComparable(Of T), that interface is used to order the sort, meaning that the items end up sorted based on the key property value in each ListItem object. Since sorting changes the order of items in the list, the view object s ListChanged event is raised to tell data binding that the view collection has effectively been reset. Keep in mind that the original collection is entirely unaffected by this process, and doesn t raise any events due to the sort being applied.

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