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C goes on to spend most of the next hour writing his program Once finished, it is indeed blazingly fast, completing 1,000 pairs in less than half a second, and Mr C is sure he can make it faster if he tunes it a little Mr C saunters over to show me this, and I demonstrate that Ms Ruby s script completes its run (on my machine) in a little over 12 seconds Following this, Mr C ventures away to find a copy of the K&R book, which he plans to roll up and use to reenact the crewexpendability scene from Alien The important point is that there should be some astronomically large dataset whereby the development time plus the execution time would be less for the C application.

Performance is the mantra for all high-performance or mission-critical applications This is generally overlooked in small-scale applications where the number of users is limited and the number of transactions conducted is relatively small Performance goals in such small-scale applications are often sidelined or considered only during the design phase, and no additional thought process is usually invested subsequently This is in direct contrast to mission-critical applications where performance is given serious thought in every phase, is continuously refined, and is constantly evidenced in the form of significant growth and improvement in the overall functioning of the system Efficiency of applications revolves around the following main objectives of performance: Responsiveness: Responsiveness is measured by how fast the system reacts to a user request Latency: Latency is the quantum of time taken to get a response Latency is usually high in a networked application.

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Throughput: Throughput is often measured during a peak time and depicts the application s full potential to handle the maximum load in a given amount of time Scalability: Scalability is often overstressed, but in reality it relates to the scaling of hardware resources Several guidelines provide a wealth of information about how to achieve these objectives, and even some best programming practices will elevate the performance of an application to a certain level However, remember that performance is an art and cannot be achieved by applying some straightforward cookbook rules You can achieve these goals only by closely evaluating the environment under which the application is sheltered and then applying the appropriate intelligence that best suits the environment In fact, sometimes techniques applied to boost performance in one environment prove to be ill-suited for another environment.

. . . @DataModel(value="gadgetMatches") List<Gadget> mGadgetMatches;

Exactly where this tipping point lies depends on the numerical trends associated with scaling up the number of pairs a subject more suited to the next section Thus scripts can be so much faster to develop and yet comparable in execution performance that they are often faster overall, even for this kind of raw numerical work Flipping this around, how about the complementary principle of being slower to write but much faster to execute I recently surprised myself by finding a great example of this..

In the financial world, performance holds center stage, and a lack of good performance is a primary reason for discarding an existing application and then rebuilding it from scratch It also means that the performance of an application is tightly coupled with its underlying design It is the application s design that is not capable of meeting the required quality of service that a typical business demands Also, such problems do not spring up immediately but become evident as time passes It also implies a direct relationship between design and time, as shown in Figure 1-18..

using System; using System.Net; using System.Net.Sockets; class ProtocolTweaking { public void MultiCastTTL(Socket sockInstance) { //Subnet Scope sockInstance.SetSocketOption(SocketOptionLevel.IP, SocketOptionName.MulticastTimeToLive,3); } public void IPTTL(Socket sockInstance) { //Set the TTL to 4 sockInstance.SetSocketOption(SocketOptionLevel.IP, SocketOptionName.IpTimeToLive,4); int ipTTL= (int)sockInstance.GetSocketOption(SocketOptionLevel.IP, SocketOptionName.IpTimeToLive); Console.WriteLine(ipTTL); } }

@DataModelSelection private Gadget mSelGadget; . . .

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