A Robust Algorithm for Deadline Constrained Scheduling in IaaS Cloud Environment-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A Robust Algorithm for Deadline Constrained Scheduling in IaaS Cloud Environment

Published:2018-12-01 Issue:12 Volume:E101.D Page:2942-2957
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

MUHAMMAD-BELLO Bilkisu Larai¹²,ARITSUGI Masayoshi³

Affiliation:

1. Department of Computer Science & Electrical Engineering, Graduate School of Science & Technology, Kumamoto University

2. Information & Media Technology Dept. Federal University of Technology Minna

3. Big Data Science & Technology, Division of Informatics & Energy, Faculty of Advanced Science & Technology, Kumamoto University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E101.D/12/E101.D_2018PAP0016/_pdf

Reference38 articles.

1. [1] M. Armbrust, A. Fox, R. Griffith, A.D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica, and M. Zaharia, “A view of cloud computing,” Commun. ACM, vol.53, no.4, pp.50-58, April 2010. 10.1145/1721654.1721672

2. [2] J.D. Ullman, “Np-complete scheduling problems,” J. Comput. Syst. Sci., vol.10, no.3, pp.384-393, June 1975. 10.1016/s0022-0000(75)80008-0

3. [3] B.L. Muhammad-Bello and M. Aritsugi, “A transparent approach to performance analysis and comparison of infrastructure as a service providers,” Computers & Electrical Engineering, vol.69, pp.317-333, 2018. 10.1016/j.compeleceng.2017.12.034

4. [4] K.R. Jackson, L. Ramakrishnan, K. Muriki, S. Canon, S. Cholia, J. Shalf, H.J. Wasserman, and N.J. Wright, “Performance analysis of high performance computing applications on the amazon web services cloud,” Proceedings of the 2010 IEEE Second International Conference on Cloud Computing Technology and Science, CLOUDCOM '10, Washington, DC, USA, pp.159-168, IEEE Computer Society, 2010. 10.1109/cloudcom.2010.69

5. [5] A. Tchernykh, U. Schwiegelsohn, V. Alexandrov, and E.-g. Talbi, “Towards understanding uncertainty in cloud computing resource provisioning,” Procedia Computer Science, vol.51, pp.1772-1781, 2015. 10.1016/j.procs.2015.05.387

Cited by 5 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. Energy-aware workflow scheduling in fog computing using a hybrid chaotic algorithm;The Journal of Supercomputing;2023-05-16

2. Chaotic hybrid multi-objective optimization algorithm for scientific workflow scheduling in multisite clouds;Journal of the Operational Research Society;2023-04-19

3. Energy and Cost-Aware Workflow Scheduling in Cloud Computing Data Centers Using a Multi-objective Optimization Algorithm;Journal of Network and Systems Management;2021-04-05

4. A hybrid multi-objective metaheuristic optimization algorithm for scientific workflow scheduling;Cluster Computing;2020-11-13

5. Research of Promoting the Performance of IaaS with Combined Clouds;Journal of Physics: Conference Series;2019-03

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