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Titlebook: Job Scheduling Strategies for Parallel Processing; 17th International W Narayan Desai,Walfredo Cirne Conference proceedings 2014 Springer-V

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樓主: Coronary-Artery
11#
發(fā)表于 2025-3-23 10:19:09 | 只看該作者
12#
發(fā)表于 2025-3-23 17:45:09 | 只看該作者
Variations of Conservative Backfilling to Improve Fairness,hile preserving the key property that jobs never move later in the profile. We assess the variations using two measures of job-level fairness. Each of the variations turns out to be better than Conservative according to one of the metrics.
13#
發(fā)表于 2025-3-23 18:02:10 | 只看該作者
Conference proceedings 2014 Processing, JSSPP 2013, held Boston, MA, USA, in May 2013. The 10 revised papers presented were carefully reviewed and selected from 20 submissions. The papers cover the following topics parallel scheduling for commercial environments, scientific computing, supercomputing and cluster platforms.
14#
發(fā)表于 2025-3-23 23:28:53 | 只看該作者
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發(fā)表于 2025-3-24 03:50:33 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/j/image/500990.jpg
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發(fā)表于 2025-3-24 08:44:54 | 只看該作者
Analysis of the Jobs Resource Utilization on a Production System,lyze both traces to detect and explain underutilization of the resources. This could enable to detect abnormal behavior, bottlenecks in the cluster leading to a poor scalability, and justifying optimizations such as gang scheduling or besteffort scheduling. This method has been applied to two medium
17#
發(fā)表于 2025-3-24 10:50:16 | 只看該作者
Decentralized Preemptive Scheduling Across Heterogeneous Multi-core Grid Resources,s) bounded turn-around and waiting times for all jobs. The methods attempt to maximize total throughput and minimize average waiting time while balancing load across available grid resources. Experimental results for both intra-node and internode scheduling via simulation show that our scheduling sc
18#
發(fā)表于 2025-3-24 18:27:17 | 只看該作者
Distributed Workflow Scheduling Under Throughput and Budget Constraints in Grid Environments,ng workflow applications are modeled as DAGs. We formulate scheduling problems with two different objectives in mind, namely either maximize the throughput under a budget/cost constraint or minimize the execution cost under a minimum throughput constraint. Two different algorithms named as Budget co
19#
發(fā)表于 2025-3-24 20:23:37 | 只看該作者
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發(fā)表于 2025-3-24 23:22:03 | 只看該作者
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