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

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書目名稱Computer Performance Engineering
副標題15th European Worksh
編輯Rena Bakhshi,Paolo Ballarini,Anne Remke
視頻videohttp://file.papertrans.cn/234/233687/233687.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computer Performance Engineering; 15th European Worksh Rena Bakhshi,Paolo Ballarini,Anne Remke Conference proceedings 2018 Springer Nature
描述.This book constitutes the refereed proceedings of the 15th European Workshop on Computer Performance Engineering, EPEW 2018, held in Paris, France, in October 2018...The 17 papers presented together with the abstracts of two invited talks in this volume were carefully reviewed and selected from 27 submissions. The papers presented at the workshop reflect the diversity of modern performance engineering, with topics ranging from advances in performanceengineering realm, including, dependability and security modeling, performance oriented model verification and testing, hardware and software systems case-studies, applications/extensions of queuing theory and network design.
出版日期Conference proceedings 2018
關(guān)鍵詞Artificial intelligence; Computer networks; Data Security; Database performance evaluation; Dependable a
版次1
doihttps://doi.org/10.1007/978-3-030-02227-3
isbn_softcover978-3-030-02226-6
isbn_ebook978-3-030-02227-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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




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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讀者反饋學科排名




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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.
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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.
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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
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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.
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