Complexity versus quality: a trade-off for scheduling workflows in heterogeneous computing environments
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-022-04687-x.pdf
Reference26 articles.
1. Arabnejad H, Barbosa JM (2014) List scheduling algorithm for heterogeneous systems by an optimistic cost table. IEEE Trans Parallel Distrib Syst 25(3):682–694. https://doi.org/10.1109/TPDS.2013.57
2. Daoud MI, Kharma N (2008) A high performance algorithm for static task scheduling in heterogeneous distributed computing systems. J Parallel Distrib Comput 68(4):399–409. https://doi.org/10.1016/j.jpdc.2007.05.015
3. Gary MR, Johnson DS (1979) Computers and intractability: a guide to the theory of NP-completeness. W.H. Freeman and Co., San Francisco
4. Falzon G, Li M (2012) Enhancing list scheduling heuristics for dependent job scheduling in grid computing environments. J Super Comput 59(1):104–130. https://doi.org/10.1007/s11227-010-0422-2
5. Illavarasan E, Thambidurai P (2007) Low complexity performance effective task scheduling algorithm for heterogeneous computing environments. J Comput Sci 3(2):94–103. https://doi.org/10.3844/jcssp.2007.94.103
Cited by 6 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. CPTF–a new heuristic based branch and bound algorithm for workflow scheduling in heterogeneous distributed computing systems;CCF Transactions on High Performance Computing;2024-05-15
2. Multitasking bi-level evolutionary algorithm for data-intensive scientific workflows on clouds;Expert Systems with Applications;2024-03
3. Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing;IEEE Access;2024
4. An empirical study on the extension of bounds on completion time and resources for scientific workflows;International Journal of Information Technology;2023-12-24
5. Towards Efficient Workflow Scheduling Over Yarn Cluster Using Deep Reinforcement Learning;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04
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