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Titlebook: Component-Based Software Engineering; 8th International Sy George T. Heineman,Ivica Crnkovic,Kurt Wallnau Conference proceedings 2005 Sprin

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21#
發(fā)表于 2025-3-25 03:50:02 | 只看該作者
22#
發(fā)表于 2025-3-25 08:23:03 | 只看該作者
Performance Prediction of J2EE Applications Using Messaging Protocolsation-independent benchmark. Benchmarking avoids the need for prototype testing in order to obtain the value of model parameters, and thus reduces the performance prediction effort. A case study is carried out to predict the performance of a J2EE application with asynchronous communication. Analysis
23#
發(fā)表于 2025-3-25 12:30:22 | 只看該作者
Architecture Based Deployment of Large-Scale Component Based Systems: The Tool and Principlesds or thousands of deployment elements manually. Thirdly, the tool can monitor the up-to-date resource consumptions of the machines and support to partition one system into several subsystems and deploy the subsystems onto multiple machines simultaneously. Fourthly, a set of principles are proposed
24#
發(fā)表于 2025-3-25 17:08:25 | 只看該作者
25#
發(fā)表于 2025-3-25 21:58:17 | 只看該作者
26#
發(fā)表于 2025-3-26 03:35:09 | 只看該作者
Multivariate Deskription und Exploration,ation-independent benchmark. Benchmarking avoids the need for prototype testing in order to obtain the value of model parameters, and thus reduces the performance prediction effort. A case study is carried out to predict the performance of a J2EE application with asynchronous communication. Analysis
27#
發(fā)表于 2025-3-26 05:25:19 | 只看該作者
Mehrdimensionale Zufallsvariablen,ds or thousands of deployment elements manually. Thirdly, the tool can monitor the up-to-date resource consumptions of the machines and support to partition one system into several subsystems and deploy the subsystems onto multiple machines simultaneously. Fourthly, a set of principles are proposed
28#
發(fā)表于 2025-3-26 11:44:00 | 只看該作者
Multivariate Deskription und Exploration,apabilities; each uses a different algorithm (Arithmetic Encoding, Huffman, Wavelet, Fractal, and Burrows-Wheeler Transform). Data on the response time performance, memory use, compression ratio, and root mean square error are collected by executing the components on a collection of 75 images with d
29#
發(fā)表于 2025-3-26 14:44:41 | 只看該作者
30#
發(fā)表于 2025-3-26 19:34:27 | 只看該作者
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