A Novel Scheduling Algorithm for Cloud Computing Environment

被引：13

作者：

Saha, Sagnika ^{[1
]}

Pal, Souvik ^{[1
]}

Pattnaik, Prasant Kumar ^{[1
]}

机构：

[1] KIIT Univ, Sch Comp Engn, Bhubaneswar, Orissa, India

来源：

COMPUTATIONAL INTELLIGENCE IN DATA MINING, VOL 1, CIDM 2015 | 2016年 / 410卷

关键词：

Cloud computing; Scheduling; Genetic algorithm; Queuing model; Waiting length;

D O I：

10.1007/978-81-322-2734-2_39

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Cloud computing is the most recent computing paradigm, in the Information Technology where the resources and information are provided on-demand and accessed over the Internet. An essential factor in the cloud computing system is Task Scheduling that relates to the efficiency of the entire cloud computing environment. Mostly in a cloud environment, the issue of scheduling is to apportion the tasks of the requesting users to the available resources. This paper aims to offer a genetic based scheduling algorithm that reduces the waiting time of the overall system. However the tasks enter the cloud environment and the users have to wait until the resources are available that leads to more queue length and increased waiting time. This paper introduces a Task Scheduling algorithm based on genetic algorithm using a queuing model to minimize the waiting time and queue length of the system.

引用

页码：387 / 398

页数：12

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