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these tests. Finally, we carry out a performance test to illustrate the methodology and the usage of the tools. The methodology and toolkit are useful in two basic situations: Performance testing a complete application Designing for performance (examining the performance costs of various aspects of the Java EE API and how certain design decisions will impact overall performance) In the first scenario, we treat the application like a black box. We test the application under various user loads and investigate the performance of every request made by the users. The data is analyzed requests that don t meet the required criteria are looked for, and opportunities for improving performance are identified. While the aforementioned is useful, our advice is to performance test as early in the development cycle as possible. This way, you can use the methodology and the data you obtain from it to help you design for performance, rather than performance testing after the fact. The example presented in this chapter focuses on designing for performance, rather than testing a complete application. If you are interested in learning more about the methodology of testing an application and performance testing in general, you can refer to J2EE Performance Testing with BEA WebLogic Server, by Peter Zadrozny (Apress, 2003). In this chapter, we present an adaptation of the methodology presented in the aforementioned book, which is narrowly focused on the example at hand.



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project was sponsored by the New Jersey DOT Bureau of Research and was carried out under the direction of Project Manager Dr. Nazhat Aboo bakr. The detailed report is now available on their Website for general use. For scour analysis methods refer to the NJDOT handbook: http://www.state.nj.us/transportation/refdata/research/reports/FHWA-NJ-2005-027.pdf The latest ideas, ingenuity, and contributions from individual researchers are acknowledged and such publications are listed at the end of chapter.





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Natural and man-made disasters can damage business facilities, assets, and information systems, thus threatening the viability of the organization by halting its critical processes Even without direct effects, many secondary or indirect effects from a disaster such as crippled transportation systems, damaged communications systems, and damaged public utilities can seriously harm an organization The development of business continuity plans and disaster recovery plans helps an organization to be better prepared to act when a disaster strikes A vital part of this preparation is the development of alternative means for continuing the most critical activities, usually in alternative locations that are not damaged by a disaster There is an accepted methodology to business continuity and disaster recovery planning, which begins with the development of a business continuity planning policy, a statement of the goals and objectives of a planning effort.

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The focus of the testing methodology is consistency of data measurement. The following list gives a high-level overview of the steps that are involved in the methodology. We present them and describe them in the logical order in which they will be carried out when performing each test: 1. Define the performance criteria. We must define the relevant performance metrics for the specific application in question, and set a realistic target for that metric (e.g., a maximum acceptable response time). 2. Accurately simulate the application usage. The key aspect of this is the definition of the test scripts. These are configuration files that contain a set of requests that represent typical usage profiles of the application. 3. Define the test metrics. These include the duration of the tests, the size of the sample, the amount of initial data to exclude, and others. 4. Perform the tests.

This is followed by a business impact analysis (BIA), a study of the organization s business processes to determine which are the most critical to the organization s ongoing viability For each critical process, a statement of impact is developed, which is a brief description of the effect on the organization if the process is incapacitated for any significant period The statement of impact can be qualitative or quantitative A criticality analysis is performed next, where all in-scope business processes are ranked in order of criticality Ranking can be strictly quantitative, qualitative, or even subjective Next, recovery targets for each critical business process are developed The key targets are recovery time objective (RTO) and recovery point objective (RPO) These targets specify time to system restoration and maximum data loss, respectively.

of this book. Clearly, the choice of a particular solution will depend upon various contingencies such as cost, existing infrastructures, projected demands, and competition. Moreover, these choices need not be mutually exclusive; in many cases, operators can selectively internetwork solutions to achieve maximum coverage. This section details some of the actual benefits and shortcomings of EoF and EoWDM vis a vis the competing alternatives (see Table 8.6).

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