In Improved Algorithm for Load Balancing techniques Over Cloud Computing

Author:

Bharatbhai Patel Kerina1,Modi Dr. Nimesh I2

Affiliation:

1. Research Scholar, Department of Computer Science, Hemchandracharya North Gujarat University, Patan, Gujarat, India

2. PhD, Computer Science, Assistant Professor, Department of Computer Science, Hemchandracharya North Gujarat University, Patan, Gujarat, India

Abstract

The term "cloud computing" describes the services and programmes that data centres make available to users all over the world. Online access is provided for all services and programmes. Virtualization is a crucial component of the cloud computing environment, and virtual machine migration is one of its key components. Virtual machine migration is the process of moving an operational virtual machine to a destination computer where it continues to function normally with all of its installed programmes and operating system. Making server balancing easier. By dispersing the workload among available servers, this boosts performance. There are several load balancing algorithms, which may be divided into static and dynamic load balancing methods.

Publisher

Technoscience Academy

Subject

General Medicine

Reference10 articles.

1. R. Archana, "A Survey of Fault Tolerance in Cloud Computing," The Proceedings of the One Day Intenational Level Seminar on Recent Innovations in Information Technology, Vol 6, No 1, pp: 98–104, MORAPPUR KONGU COLLEGE OF ARTS AND SCIENCE, Morappur, India, Septamper 2018.

2. Hesham N. Elmahdy, "Cloud Infrastructure Services DELL-EMC2 course – Cloud Computing Master Academic Program," Lecture Notes, Faculty of Computers and Artificial Intelligence Cairo University, Cairo, Egypt, Feb. 2020.

3. Saumendu Roy, Dr. Md. Alam Hossain, Sujit Kumar Sen, Nazmul Hossain and Md. Rashid Al Asif,” Measuring the Performance on Load Balancing Algorithms,” Global Journal of Computer Science and Technology: B Cloud and Distributed, Vol 19, No 1, Version 1.0, Year 2019.

4. Violetta. N. Volkova, L. V. Chemenkaya, E. N. Desyatirikova, M. Hajali, A. Khodar and A. Osama, "Load Balancing in Cloud Computing," The Proceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), IEEE Explorer, pp: 387-390, doi: 10.1109/EIConRus.2018.8317113, Moscow and St. Petersburg, Russia, 29 Jan.-1 Feb. 2018.

5. Usman Bukar Usman, Faruku Umar Ambursa, Egwan Jessica Onyiyechi and Tanimu Jesse Jaremiah, “Virtual Machine Migration Techniques in Cloud Computing Environment: A Review of Load Balancing Algorithms,” International Journal of Artificial & Computational Intelligence, Vol1, ISSUE4_03, September 2020.

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