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Titlebook: Cloud Computing – CLOUD 2018; 11th International C Min Luo,Liang-Jie Zhang Conference proceedings 2018 Springer International Publishing AG

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發(fā)表于 2025-3-21 17:29:39 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Cloud Computing – CLOUD 2018
副標(biāo)題11th International C
編輯Min Luo,Liang-Jie Zhang
視頻videohttp://file.papertrans.cn/229/228457/228457.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Cloud Computing – CLOUD 2018; 11th International C Min Luo,Liang-Jie Zhang Conference proceedings 2018 Springer International Publishing AG
描述This volume constitutes the proceedings of the 11th International Conference on Cloud Computing, CLOUD 2018, held as part of the Services Conference Federation, SCF 2018, in Seattle, WA, USA, in June 2018.The 26 full papers presented together with 3 short papers were carefully reviewed and selected from 108 submissions. They are organized in topical sections such as cloud computing; client-server architectures; distributed systems organizing principles; storage virtualization; virtual machines; cloud based storage; distributed architectures; network services; and computing platforms..
出版日期Conference proceedings 2018
關(guān)鍵詞Cloud computing; Client-server architectures; Distributed systems organizing principles; Storage virtua
版次1
doihttps://doi.org/10.1007/978-3-319-94295-7
isbn_softcover978-3-319-94294-0
isbn_ebook978-3-319-94295-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

書目名稱Cloud Computing – CLOUD 2018影響因子(影響力)




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書目名稱Cloud Computing – CLOUD 2018網(wǎng)絡(luò)公開度




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https://doi.org/10.1007/978-94-6209-167-2idate cloud providers then we select candidate providers amongst them to host each microservice by mapping the selection process to multi-choice knapsack problem. Besides that, the microservices are analyzed individually, except for the cost constraint. The selection process examines the cost constr
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Schopenhauer und die Deutung der Existenzorward, based on Energy Consumption Model and Response Time Model. Combining both ECPO and RTPO, a dynamic computing offloading algorithm is raised which is more universal. Finally, simulations in four scenarios, including network normal scenario, network congested scenario, device low battery scena
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https://doi.org/10.1007/978-3-476-04642-0wer standard deviation, 15% higher throughput, and 33% lower CPU overhead. Compared to the dedicated processor method, the proposed method has the 63% lower standard deviation, higher total throughput by a factor of 2, and avoids under-utilization of the dedicated processor.
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Dynamic Selecting Approach for Multi-cloud Providersidate cloud providers then we select candidate providers amongst them to host each microservice by mapping the selection process to multi-choice knapsack problem. Besides that, the microservices are analyzed individually, except for the cost constraint. The selection process examines the cost constr
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