登录 注册 会员服务 联系我们

Experience with using the Parallel Workloads Archive

  • Published:2014-10 Issue:10 Volume:74 Page:2967-2982
  • ISSN:0743-7315
  • Container-title:Journal of Parallel and Distributed Computing
  • language:en
  • Short-container-title:Journal of Parallel and Distributed Computing

Author:

Feitelson Dror G.,Tsafrir Dan,Krakov David

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference48 articles.

1. An approach to the workload characterization problem;Agrawala;Computer,1976

2. Mixed integer-linear formulations of cumulative scheduling constraints—A comparative study. SICS Report 2399;Aronsson,2007

3. Benchmarks and standards for the evaluation of parallel job schedulers;Chapin,1999

4. W. Cirne, F. Berman, A comprehensive model of the supercomputer workload, in: 4th Workshop on Workload Characterization, Dec 2001, pp. 140–148. http://dx.doi.org/10.1109/WWC.2001.990753.

5. Workload traces analysis and replay in large scale distributed systems;Emeras,2013

Cited by 181 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application-Oriented Cloud Workload Prediction: A Survey and New Perspectives;Tsinghua Science and Technology;2025-02

2. Combining Machine Learning techniques and Genetic Algorithm for predicting run times of High Performance Computing jobs;Applied Soft Computing;2024-11

3. Job Scheduling for HPC Clusters: Constraint Programming vs. Backfilling Approaches;Proceedings of the 18th ACM International Conference on Distributed and Event-based Systems;2024-06-24

4. Regression-Classification Parallel Prediction: An Online Learning Optimization for Job Scheduling Backfill Algorithm;Proceedings of the 2024 8th International Conference on High Performance Compilation, Computing and Communications;2024-06-07

5. Network-aware virtual machine placement using enriched butterfly optimisation algorithm in cloud computing paradigm;Cluster Computing;2024-04-12
同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3