Implementation Analysis of Load Balancing Procedures for Cloud Computing Domain

被引：0

作者：

Kushwaha, Monalisa ^{[1
]}

Raina, B. L. ^{[1
]}

Singh, Shailendra Narayan ^{[2
]}

机构：

[1] Glocal Univ Uttar Pradesh, Comp Sci, Saharanpur, India

[2] Amity Univ Uttar Pradesh, Comp Sci & Engn, Noida, India

来源：

2021 IEEE INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION, AND INTELLIGENT SYSTEMS (ICCCIS) | 2021年

关键词：

Cloud Computing; Load balancing; CloudSim;

D O I：

10.1109/ICCCIS51004.2021.9397069

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Cloud facility suppliers such as IBM, Alibaba Cloud, etc. have perceived expanding evolution above the preceding some decades as new enterprises are migrating its procedures to the Cloud. Since Cloud assists numerous trades and operators instantaneously, the aforementioned is vital nevertheless perplexing to evaluate the performance of the load balancing technique of jobs executing on the Cloud. The study has inspected First Come First, Shortest Job First in addition to Least Connection load balancing procedures employing CloudSim 4.0 agenda plus representative prototypes for Cloud platform such as Amazon Web Services. The simulation outcomes illustrate that the job implementation interval for the space-shared scheduling strategy is near to the hypothetical interval as compared to time-shared scheduling. Besides, it has been detected that Least Connection executes superior to the First Come First Served and the Shortest Job First at lesser load.

引用

页码：287 / 292

页数：6

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