Design and implementation of fuzzy priority deadline job scheduling algorithm in heterogeneous grid computing
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-02171-z.pdf
Reference29 articles.
1. Abba HA, Shah SNM, Zakaria NB, Pal AJ (2012) Deadline based performance evaluation of job scheduling algorithms. In: International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, pp 106–110
2. Atif Y, Al-Falahi K, Wangchuk T, Lindström B (2019) A fuzzy logic approach to influence maximization in social networks. J Ambient Intell Humaniz Comput 1–17
3. Braun TD, Siegel HJ, Beck N, Bölöni LL, Maheswaran M, Reuther AI, Freund RF (2001) A comparison of eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems. J Parallel Distribut Comput 61(6):810–837
4. Byun EK, Kee YS, Kim JS, Maeng S (2011) Cost optimized provisioning of elastic resources for application workflows. Future Gener Comput Syst 27(8):1011–1026
5. Chauhan SS, Joshi RC (2010) A weighted mean time min–min max–min selective scheduling strategy for independent tasks on grid. In: IEEE 2nd International Advance Computing Conference (IACC), pp 4–9
Cited by 9 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. A comprehensive survey on scheduling algorithms using fuzzy systems in distributed environments;Artificial Intelligence Review;2024-01
2. Supply Chain Construction and Optimization Model Based on Grid Computing and Process Data Mining Algorithms;2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA);2022-09-21
3. Time Effective Cloud Resource Scheduling Method for Data-Intensive Smart Systems;International Journal of Information Technology and Web Engineering;2022-07-14
4. Ontology‐based data access control model supported with grid computing for improving security in healthcare data;Transactions on Emerging Telecommunications Technologies;2022-07-08
5. Greedy Firefly Algorithm for Optimizing Job Scheduling in IoT Grid Computing;Sensors;2022-01-23
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