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Titlebook: Computer Performance Engineering; 10th European Worksh Maria Simonetta Balsamo,William J. Knottenbelt,And Conference proceedings 2013 Sprin

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21#
發(fā)表于 2025-3-25 06:54:02 | 只看該作者
22#
發(fā)表于 2025-3-25 08:20:01 | 只看該作者
https://doi.org/10.1007/978-3-7643-8396-1raffic traces, and we compare the results with those obtained by an approximative method. Numerical results illustrate that the proposed method provides more accurate results with a tradeoff between computation time and accuracy. Moreover, the derived performance bounds are very relevant in network dimensioning.
23#
發(fā)表于 2025-3-25 13:29:54 | 只看該作者
24#
發(fā)表于 2025-3-25 17:10:47 | 只看該作者
Requirements on a MAS Modeling Languageprise2010 industry standard benchmark deployment. Simulations based on a generated performance model of this reference deployment show a prediction error of 1 to 20 % for response time and of less than 10 % for CPU utilization and throughput.
25#
發(fā)表于 2025-3-25 21:18:32 | 只看該作者
26#
發(fā)表于 2025-3-26 02:18:28 | 只看該作者
Performance Antipatterns: State-of-Art and Future Perspectivesng solutions to common mistakes (i.e. bad practices) affecting performance. Such antipatterns can play a key role in the software performance domain, since they can be used in the investigation of performance problems as well as in the formulation of solutions in terms of design alternatives.
27#
發(fā)表于 2025-3-26 07:23:40 | 只看該作者
28#
發(fā)表于 2025-3-26 12:28:36 | 只看該作者
29#
發(fā)表于 2025-3-26 16:01:59 | 只看該作者
Automatic Performance Model Generation for Java Enterprise Edition (EE) Applicationsprise2010 industry standard benchmark deployment. Simulations based on a generated performance model of this reference deployment show a prediction error of 1 to 20 % for response time and of less than 10 % for CPU utilization and throughput.
30#
發(fā)表于 2025-3-26 17:26:43 | 只看該作者
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