have modeled the performance of ApacheWeb servers using other methods, namely Neural Networks. During their work, they studied the impact of parameters such as: traffic arrivals and the service discipline on performance metrics such as average Web response time, throughput and rate of server rejection. In and, the authors considered respectively the queue M/G/1/K*PS and M/M/1/K to evaluate the performance of the Web server. These three methods are also used by various researchers who have addressed their studies on Web server performance. Modeling is the cheapest method because now personal computer hardware is more unaffordable. As for the modeling, we used techniques such as: network queue, the Markov model, the Petri Nets and the neural network. Simulation is the prototype of the real system and can provide performance measurement with more or less accurate results but can be difficult to build. Direct measuring is an exact method but it requires a real system to collect specific information about the metrics of system performance. Therefore, many researchers have conducted studies on the performance of the computer systems, namely: direct measurement, simulation and modeling. This rough location users thus despreciate the quality of service offered by the servers. Even though web servers are now able to handle millions of requests per day, during the peak period its performance can collapse and become critical. In November 2012, a Netcraft survey counted 625,329,303 active websites worldwide. According to some studies, statistics of users connected to the internet have risen more than 2.3 billion in 2012 in comparison with the number of inhabitants of the world close to 7 billion one third of the population is connected to the Internet. In the recent decades, the number of internet users did not cease to increase.
During the modeling, the MATLAB software was used. At the end of this article, we also present a Simulink model of Web server performance based on the simple M/M/1 queue. Using the “ApacheBench” performance measurement tool, the approach is to compare the performances of four different configurations of a Web server, such as: Apache Web server implementing JSP technology with access to PostgreSQL database, Apache using PHP technology with the PostgreSQL as database, Apache Web server using the JSP technology with access to MySQL database, finally Apache and PHP with DBMS MySQL. In this paper, we evaluate experimentally the impact of JSP and PHP dynamic content technology: JSP and PHP with access to a database of performance data of Apache Web server. That is why Web server performance is a topic of great interest to many researchers. Today, a Web server is capable of processing millions of requests per day, but during the peak period may collapse and becomes critical causing unavailability of the services offered by the servers. In recent years, web technology carried on growing and at same time, the number of internet users increased significantly in number.