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Titlebook: Network and Parallel Computing; 14th IFIP WG 10.3 In Xuanhua Shi,Hong An,Hai Jin Conference proceedings 2017 IFIP International Federation

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樓主: Carter
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發(fā)表于 2025-3-25 07:05:36 | 只看該作者
22#
發(fā)表于 2025-3-25 09:13:21 | 只看該作者
Xuanhua Shi,Hong An,Hai JinIncludes supplementary material:
23#
發(fā)表于 2025-3-25 14:22:08 | 只看該作者
Balancing Global and Local Fairness Allocation Model in Heterogeneous Data Center,ose an allocation method called GLA that satisfies fair attributes and can improve the utilization of system resources by nearly 20% when the number of clients are more than six contrasting with the existing methods. The algorithm is also protable and scalable that can adapt to most of systems.
24#
發(fā)表于 2025-3-25 15:53:46 | 只看該作者
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發(fā)表于 2025-3-25 20:02:45 | 只看該作者
SCMKV: A Lightweight Log-Structured Key-Value Store on SCM,ssability, low latency and persistence. Existing key-value stores proposed for block devices use SCMs as block devices, which conceal the performance that SCMs provide. A few existing key-value stores for SCMs fail to provide consistency when hardware supports such as cache flush on power failure ar
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發(fā)表于 2025-3-26 02:37:40 | 只看該作者
27#
發(fā)表于 2025-3-26 06:36:46 | 只看該作者
28#
發(fā)表于 2025-3-26 08:41:00 | 只看該作者
Two-Stage Job Scheduling Model Based on Revenues and Resources,o multi-user jobs are scheduled efficiently to take full advantage of the resources of the platform, get the maximum revenue and meet the SLA requirements of the users. We research the project of job scheduling for MapReduce framework further. The paper proposes a two-stage job scheduling model base
29#
發(fā)表于 2025-3-26 15:35:10 | 只看該作者
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發(fā)表于 2025-3-26 19:51:21 | 只看該作者
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