Genetic Programming Based Hyper Heuristic Approach for Dynamic Workflow Scheduling in the Cloud
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-59051-2_6
Reference19 articles.
1. Abdelkader, D.M., Omara, F.: Dynamic task scheduling algorithm with load balancing for heterogeneous computing system. Egypt. Inform. J. 13(2), 135–145 (2012)
2. Arabnejad, V., Bubendorfer, K., Ng, B.: Budget and deadline aware e-science workflow scheduling in clouds. IEEE Trans. Parallel Distrib. Syst. 30(1), 29–44 (2018)
3. Blythe, J., et al.: Task scheduling strategies for workflow-based applications in grids. In: 2005 IEEE International Symposium on Cluster Computing and the Grid, CCGrid 2005, vol. 2, pp. 759–767. IEEE (2005)
4. Braun, T.D., et al.: A comparison of eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems. J. Parallel Distrib. Comput. 61(6), 810–837 (2001)
5. Buyya, R., Murshed, M.: GridSim: a toolkit for the modeling and simulation of distributed resource management and scheduling for grid computing. Concur. Comput.: Pract. Exp. 14(13–15), 1175–1220 (2002)
Cited by 12 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 cooperative coevolutionary genetic programming hyper-heuristic for multi-objective makespan and cost optimization in cloud workflow scheduling;Computers & Operations Research;2024-12
2. Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling;IEEE Transactions on Evolutionary Computation;2024-02
3. Genetic Programming for Dynamic Workflow Scheduling in Fog Computing;IEEE Transactions on Services Computing;2023-07-01
4. Cooperative Coevolutionary Genetic Programming Hyper-Heuristic for Budget Constrained Dynamic Multi-workflow Scheduling in Cloud Computing;Evolutionary Computation in Combinatorial Optimization;2023
5. A Genetic Programming-Based Hyper-Heuristic Approach for Multi-Objective Dynamic Workflow Scheduling in Cloud Environment;2022 IEEE Congress on Evolutionary Computation (CEC);2022-07-18
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