婉言 发表于 2025-3-21 17:29:39
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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发酵剂 发表于 2025-3-22 04:22:39
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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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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 constrexacerbate 发表于 2025-3-23 06:37:42
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