A Comparative Analysis of Task Scheduling Approaches for Cloud Environment

被引：0

作者：

Jain, Anurag ^{[1
]}

Kumar, Rajneesh ^{[2
]}

机构：

[1] Geeta Inst Management & Technol, Dept Comp Sci, Kurukshetra, Haryana, India

[2] Maharishi Markandeshwar Univ, Dept Comp Sci, Ambala, India

来源：

PROCEEDINGS OF THE 10TH INDIACOM - 2016 3RD INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT | 2016年

关键词：

Cloud Analyst; Cloud Computing; Join Idle Queue; Join Shortest Queue; Loud Balancing; Minimum Completion Time; Minimum Execution Time; Task Scheduling; QUEUE;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Cloud computing is still an emerging technology whose future depends on optimum resource utilization, efficient task management & effective installation of infrastructure. It will assist in attaining improved fault tolerance ratio and satisfaction of service level agreement in a better manner. Load balancing approaches plays a vital role in achieving higher resource utilization & user satisfaction ratio. It can he done through task scheduling, resource allocation and task migration. Objective of this paper is to evaluate several suitable strategies for task scheduling in cloud environment using cloud analyst simulator.

引用

页码：1787 / 1792

页数：6

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