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Apache runs on many different operating systems You should consult your operating system s user s manual for details on how to fine-tune it for higher performance Because Apache on Linux platform is the most popular combination, I discuss how you can tune Linux for higher performance If you o not use Linux, you should skip this section If you have installed the Red Hat-supplied vanilla kernel, chances are it is not optimized for your system Typically, when you install a vendor-provided kernel, it is created to support the majority of installation scenarios For example, a vanilla kernel might have both EIDE and SCSI drive support when you might only have.A lean and mean kernel is likely to be a good candidate for running demanding applications that make heavy use f your resources In my experience, such applications are often not suitable for vanilla kernel or other resource configurations For example, a multithreaded mail server can open up thousands of files from the message queue and simply run out of file handles or start up too many threads to reach the system s simultaneous process capacity These two issues come up so frequently that I will show you how to overcome them. Code 39 Reader In .NET Using Barcode recognizer for .Related: Barcode Printing ASP.NET how to, Barcode Printing RDLC Library, SSRS Barcode Generation

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Scripts running under mod_perl run fast because they are loaded within each child-server s code space Unlike its CGI counterpart, a mod_perl script can maintain a persistent connection to an external database server This means that database-driven dynamic content generation becomes fast with mod_perl scripts However, a new problem introduces itself if you run a very large Web server When you run 50 or more Apache server processes to service many simultaneous requests, it is possible for Apache to eventually open up that many database connections and to keep each connection persistent for the duration of each child Say that you run a Web server system through which you run 50 Apache child processes so that you can service approximately 50 requests per second and you happen to have a mod_perl-based script that opens a database connection in the initialization stage As requests come to your database script, Apache services such requests by using each of its child processes and thus opening up 50 database connections Because many database servers allocate expensive resources on a per-connection basis, this could be a major issue on the database side For example, when making such connections to a IBM Universal Database Server (UDB) Enterprise Edition running on a remote Linux system, each Apache child has a counterpart connection-related process on the database server If such environment uses load-balancing hardware to balance incoming requests among a set of mod_perl-enabled Apache Web servers, there is likely to be a scenario when each Web-server system, which is running 50 Apache child processes, has all of the child processes opened and connected to the database server For example, if such an environment consists of 10 Web servers under the load-balancing hardware, then the total possible connections to the database server is 10 50, or 500 connections, which might create an extensive resource load on the database server One possible solution for such a scenario is to find a way to have the database time-out idle connections, make the mod_perl cript code detect stale connections, and have the code reinitiate connection Another solution is to create a persistent database proxy daemon that each Web server uses to fetch data from the database Fortunately, FastCGI or Java Servlets has a more native solution for such problems and should be considered for heavily used database-driven applications The next section discusses another performance-boosting Web technology called FastCGI.

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Second, using a large value of m, while it improves performance, will generate a uge number of media segments, each requiring its own network channel for transmission. For some types of network (e.g., IP multicast), this may become a bottleneck as the number of network channels is limited (e.g., IP multicast addresses). We address these issues in the Consonant Broadcasting scheme described later in this chapter. In Visual Studio .NET Using Barcode generator for .Related: QR Code Generating .NET Data, .NET Data Matrix Generating , Generate PDF417 .NET

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Figure 38 Feedforward Neural Network Classi cation Boundary Illustration For classi cation problems, the task of hidden units is to form the decision boundaries to separate di erent classes Figure 38 illustrates the boundaries for a three-class problem Solid lines represent boundaries For this arti cial problem ten boundaries exist Since each hidden unit implements one boundary, ten hidden units are required to perform the classi cation as illustrated in the gure Less hidden units can be used, but at the cost of an increase in classi cation error Also note that in the top left corner there are misclassi cations of class , being part of the space for class This problem can be solved by using three additional hidden units to form these boundaries How can the number of hidden units be determined without using any prior knowledge about the input space This very important issue is dealt with in 7, where the relationship between the number of hidden units and performance is investigated n the case of function approximation, assuming a one-dimensional function as depicted in Figure 39, ve hidden units with sigmoid activation functions are required to learn the function A sigmoid function is then tted for each in ection point of the target function The number of hidden units is therefore the number of turning points plus one In the case of linear activation functions, the hidden units perform the same task However, more linear activation functions may be required to learn the function to the same accuracy as obtained using sigmoid functions.

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Training of NNs starts on randomly selected initial weights This means that each time a network is retrained on the same data set, di erent results can be expected, since learning starts at di erent points in the search space; di erent NNs may disagree, and make di erent rrors This problem in NN training prompted the development of Barcode Generator In Visual Studio NET Using Barcode Related: Create QR Code NET , Print Code 39 NET , NET Code 128 Generator.

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