LOAD BALANCING IN CLOUD COMPUTING

Author:

Zolnikov Vladimir1,Oksyuta O.1,Dayub Nur1

Affiliation:

1. Voronezh State University of Forestry and Technologies named after G.F. Morozov

Abstract

Cloud computing is a new Internet technology that focuses on commercial computing. Load balancing helps improve the performance of a centralized server. This paper analyzes various algorithms using the tool of analysis, namely, cloud-based Analytics. A comparison of load distribution algorithms is also made.

Publisher

Infra-M Academic Publishing House

Subject

General Medicine

Reference16 articles.

1. Mishra, S. K. Load balancing in cloud computing: A big pictureq / S.K. Mishra [et al.] // Journal of King Saud University – Computer and Information Sciences (2018). - https://doi.org/10.1016/j.jksuci.2018.01.003, Mishra, S. K. Load balancing in cloud computing: A big pictureq / S.K. Mishra [et al.] // Journal of King Saud University – Computer and Information Sciences (2018). - https://doi.org/10.1016/j.jksuci.2018.01.003

2. Genetic algorithm and gravitational emulation based hybrid load balancing strategy in cloud computing / S. Dam, G. Mandal, K. Dasgupta, P. Dutta // Third IEEE International Conference on Computer, Communication, Control and Information Technology (C3IT). – 2018. - Pp. 1–7., Genetic algorithm and gravitational emulation based hybrid load balancing strategy in cloud computing / S. Dam, G. Mandal, K. Dasgupta, P. Dutta // Third IEEE International Conference on Computer, Communication, Control and Information Technology (C3IT). – 2018. - Pp. 1–7.

3. New Subtask Load Balancing Algorithm Based on OLB and LBMM Scheduling Algorithms in Cloud / E.M. Rewehel, M.S.M.Mostafa, M.O. Ragaie // In Proceedings of the 2014 International Conference on Computer Network and Information Science, IEEE Computer Society, 2014. - Pp. 9–14., New Subtask Load Balancing Algorithm Based on OLB and LBMM Scheduling Algorithms in Cloud / E.M. Rewehel, M.S.M.Mostafa, M.O. Ragaie // In Proceedings of the 2014 International Conference on Computer Network and Information Science, IEEE Computer Society, 2014. - Pp. 9–14.

4. Energy-efficient cloud computing / A. Berl, E. Gelenbe, M. Girolamo, G. Giuliani, H. Meer, M.Q. Dang, K. Pentikousis, // Comput. J. – 2010. - 53 (7). – Pp. 1045-1051., Energy-efficient cloud computing / A. Berl, E. Gelenbe, M. Girolamo, G. Giuliani, H. Meer, M.Q. Dang, K. Pentikousis, // Comput. J. – 2010. - 53 (7). – Pp. 1045-1051.

5. Kulkarni, A.K. Load balancing strategy for optimal peak hour performance in cloud datacenters / A. K. Kulkarni, B. Annappa // IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2015. -№ 2.- Pp. 1–5., Kulkarni, A.K. Load balancing strategy for optimal peak hour performance in cloud datacenters / A. K. Kulkarni, B. Annappa // IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2015. -№ 2.- Pp. 1–5.

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. Studying the Dynamic Bottlenecks of a Load Balancer in Distributed Systems;Mathematical Modeling and Simulation of Systems;2022

2. PRODUCT LIFE ASSESSMENT METHODOLOGY UNDER RADIATION EXPOSURE;Materials of the All-Russian Scientific and Practical Conference "Modern aspects of modeling systems and processes";2021-12-10

3. OPTIMIZATION MODEL FOR DISTRIBUTION OF APPLICATIONS IN MASS SERVICE SYSTEMS;Materials of the All-Russian Scientific and Practical Conference "Modern aspects of modeling systems and processes";2021-11-25

4. AUTOMATED MACHINE BUILDING DEVICES USING GRAPH THEORY;Materials of the All-Russian Scientific and Practical Conference "Modern aspects of modeling systems and processes";2021-11-25

5. ANALYSIS OF THE CAPABILITIES OF MODERN MEDICAL INFORMATION SYSTEMS;Materials of the All-Russian Scientific and Practical Conference "Modern aspects of modeling systems and processes";2021-11-23

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