婉言 发表于 2025-3-21 17:29:39

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Cardiac-Output 发表于 2025-3-21 22:49:23

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

发酵剂 发表于 2025-3-22 04:22:39

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受辱 发表于 2025-3-22 08:03:49

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全等 发表于 2025-3-22 09:57:42

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初次登台 发表于 2025-3-22 15:22:50

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

初次登台 发表于 2025-3-22 17:07:27

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.

大喘气 发表于 2025-3-22 21:25:23

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内行 发表于 2025-3-23 02:02:46

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

exacerbate 发表于 2025-3-23 06:37:42

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