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Titlebook: Adaptive Resource Management and Scheduling for Cloud Computing; First International Florin Pop,Maria Potop-Butucaru Conference proceeding

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51#
發(fā)表于 2025-3-30 10:12:19 | 只看該作者
Conference proceedings 2014duling for Cloud Computing, ARMS-CC 2014, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2014, in Paris, France, in July 2014. The 14 revised full papers (including 2 invited talks) were carefully reviewed and selected from 29 submissions and cover topics such as
52#
發(fā)表于 2025-3-30 16:22:44 | 只看該作者
53#
發(fā)表于 2025-3-30 18:21:23 | 只看該作者
Discussion of the Adopted Approach,ows a state-based model. Based on this model, we present a strategy to choose and offload work on a mobile device. We present a framework and experimental results showing the efficacy of our proposed approach.
54#
發(fā)表于 2025-3-30 22:03:13 | 只看該作者
55#
發(fā)表于 2025-3-31 03:35:11 | 只看該作者
56#
發(fā)表于 2025-3-31 05:12:18 | 只看該作者
https://doi.org/10.1007/978-981-10-7602-2systems have become multi-dimensional. Traditional scheduling algorithms based on a single-resource optimization like processor fail to provide near optimal solutions. The efficient use of new computing systems depends on the efficient use of all resource dimensions. Thus, the scheduling algorithms
57#
發(fā)表于 2025-3-31 09:43:21 | 只看該作者
58#
發(fā)表于 2025-3-31 15:44:31 | 只看該作者
Discussion of the Adopted Approach,ariation. We gathered mobile usage data for a number of persons and applied supervised clustering to show that a pattern of usage exists and that follows a state-based model. Based on this model, we present a strategy to choose and offload work on a mobile device. We present a framework and experime
59#
發(fā)表于 2025-3-31 20:46:55 | 只看該作者
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