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

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书目名称Computer Performance Engineering影响因子(影响力)




书目名称Computer Performance Engineering影响因子(影响力)学科排名




书目名称Computer Performance Engineering网络公开度




书目名称Computer Performance Engineering网络公开度学科排名




书目名称Computer Performance Engineering被引频次




书目名称Computer Performance Engineering被引频次学科排名




书目名称Computer Performance Engineering年度引用




书目名称Computer Performance Engineering年度引用学科排名




书目名称Computer Performance Engineering读者反馈




书目名称Computer Performance Engineering读者反馈学科排名

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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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Ebct207

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变化无常

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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