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1 Introduction

Under this thesis, the problems of the definition of performance and procedures for load and performance investigation and analysis. After the advantages and disadvantages of the procedure explained and possible alternatives were shown, the implementation of load and performance tests on campus project management.

The performance of components or complex systems to determine, has always been an interesting area in which much research and development. Since the widespread use of the Internet and the related increase of tenders, the Web is richer and more complex. Since this is to limit the performance led by the user by means longer waiting times were felt, have several studies with these unwanted delays seized. [1][2]

It was essential to improve the performance of the systems to investigate and as a result a large number of tools, such performance testing more or less supported. In Figure 2.1-1 shows the fast-growing range of load testing tools.

load test tools - market development

Figure 2.1-1 - load test tools - market development 1998-2003 [3]

A disadvantage to the wide variety of tools available load test is the problem, the right tool for his own purposes test out. In Chapter 3 of this work are different criteria introduced by the division of the load test tools can help in the decision to facilitate selection. Furthermore, some load testing tools, and more precisely the basis of previously defined criteria compared.

Chapter 4 deals with the methods of Bottleneck analysis, and try some of the advantages and disadvantages of view. Further work on methods of Bottleneck analysis can be found among others in [1][47].

In Chapter 5, the planning and implementation of performance tests on campus project management explained. Based on the requirements of the project and the criteria was for these tests load test tool chosen with the performance tests have been carried out.

Chapter 6 deals ultimately with the preparation of the load test tool recorded data and tries to represent value added, an extended analysis of the data can bring.

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