MEDAL 发表于 2025-3-21 16:04:03

书目名称Computer Performance Engineering影响因子(影响力)<br>        http://impactfactor.cn/if/?ISSN=BK0233687<br><br>        <br><br>书目名称Computer Performance Engineering影响因子(影响力)学科排名<br>        http://impactfactor.cn/ifr/?ISSN=BK0233687<br><br>        <br><br>书目名称Computer Performance Engineering网络公开度<br>        http://impactfactor.cn/at/?ISSN=BK0233687<br><br>        <br><br>书目名称Computer Performance Engineering网络公开度学科排名<br>        http://impactfactor.cn/atr/?ISSN=BK0233687<br><br>        <br><br>书目名称Computer Performance Engineering被引频次<br>        http://impactfactor.cn/tc/?ISSN=BK0233687<br><br>        <br><br>书目名称Computer Performance Engineering被引频次学科排名<br>        http://impactfactor.cn/tcr/?ISSN=BK0233687<br><br>        <br><br>书目名称Computer Performance Engineering年度引用<br>        http://impactfactor.cn/ii/?ISSN=BK0233687<br><br>        <br><br>书目名称Computer Performance Engineering年度引用学科排名<br>        http://impactfactor.cn/iir/?ISSN=BK0233687<br><br>        <br><br>书目名称Computer Performance Engineering读者反馈<br>        http://impactfactor.cn/5y/?ISSN=BK0233687<br><br>        <br><br>书目名称Computer Performance Engineering读者反馈学科排名<br>        http://impactfactor.cn/5yr/?ISSN=BK0233687<br><br>        <br><br>

Palter 发表于 2025-3-21 21:47:39

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SOBER 发表于 2025-3-22 03:24:31

Modeling the Effect of Parallel Execution on Multi-site Computation Offloading in Mobile Cloud Compg, this work models the effect of parallel execution of different parts of an application—on different devices (external parallelism) as well as on different cores of a single device (internal parallelism)—on offloading allocation. This work considers each device as a multi-server queueing station.

Protein 发表于 2025-3-22 06:00:09

An OpenFlow Controller Performance Evaluation Tool,tted distribution, The tool can offer more clearly performance characteristic than the existing tools. The tool can export its result into JMT, it helps users to build and evaluate their performance models.

托人看管 发表于 2025-3-22 10:13:31

https://doi.org/10.1057/9781137333001tic state classes. The evaluation of performance measures on resource allocation and missed deadlines enables the analysis of design choices and the estimation of over-provisioned resources that are likely to be unused at run-time. Feasibility and effectiveness of the approach are validated on rando

Mundane 发表于 2025-3-22 13:43:31

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Mundane 发表于 2025-3-22 17:55:02

https://doi.org/10.1007/978-1-349-19093-5g, this work models the effect of parallel execution of different parts of an application—on different devices (external parallelism) as well as on different cores of a single device (internal parallelism)—on offloading allocation. This work considers each device as a multi-server queueing station.

金丝雀 发表于 2025-3-22 22:32:14

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捐助 发表于 2025-3-23 03:05:56

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感情 发表于 2025-3-23 06:53:15

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查看完整版本: Titlebook: Computer Performance Engineering; 15th European Worksh Rena Bakhshi,Paolo Ballarini,Anne Remke Conference proceedings 2018 Springer Nature