Titlebook: Computer Performance Engineering; 11th European Worksh András Horváth,Katinka Wolter Conference proceedings 2014 Springer International Pub

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書目名稱Computer Performance Engineering影響因子(影響力)




書目名稱Computer Performance Engineering影響因子(影響力)學(xué)科排名




書目名稱Computer Performance Engineering網(wǎng)絡(luò)公開度




書目名稱Computer Performance Engineering網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Performance Engineering被引頻次




書目名稱Computer Performance Engineering被引頻次學(xué)科排名




書目名稱Computer Performance Engineering年度引用




書目名稱Computer Performance Engineering年度引用學(xué)科排名




書目名稱Computer Performance Engineering讀者反饋




書目名稱Computer Performance Engineering讀者反饋學(xué)科排名

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On the Predictive Properties of Performance Models Derived through Input-Output Relationshipsstem for different values of the input? The CM’s parameters are obtained by solving a non-linear optimization problem. The paper shows through experiments that the CM is relatively robust and has predictive power over a range of input values.

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Deriving Work Plans for Solving Performance and Scalability Problemslity solution with an ordered set of work activities. Rules are used to derive a work plan sketching the implementation of a solution for the particular application based on an initial set of work activities. The rule-based approach identifies impacted elements and determines how they should be chan

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Reinhart Schuster,Paul W. Murphyata models, and easy cloud deployment. To avoid overprovisioning, it is essential to be able to identify the correct number of nodes required for a specific system before deployment. This paper benchmarks and compares three of the most common NoSQL databases: Cassandra, MongoDB and HBase. We deploy

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