DSOS with Local Search for Task Scheduling in Cloud Environment

被引：0
|
作者：
Kumar, K. R. Prasanna [1 ]
Kousalya, K. [2 ]
Vishnuppriya, S. [2 ]
机构：
[1] Kongu Engn Coll, Dept IT, Erode, Tamil Nadu, India
[2] Kongu Engn Coll, Dept CSE, Erode, Tamil Nadu, India
来源：
2017 4TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATION SYSTEMS (ICACCS) | 2017年
关键词：
Cloud computing; Scheduling; SOS; DSOS; Local search; Makespan; DSOSLS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In Cloud computing applications, data and computing resources are provided as a service to the clients over the Internet. Task scheduling plays a vital role in assigning the tasks to different virtual machines in cloud computing. The ultimate goal of cloud task scheduling is to curtail the makespan. Discrete Symbiotic Organism Search (DSOS) is a metaheuristic algorithm which provides optimal solution to cloud scheduling problems. Local search procedure will move from one solution to another improved solution. In this paper we propose an algorithm named as DSOS with Local search (DSOSLS). In DSOSLS the local search technique has been applied to the solution which is obtained from the DSOS algorithm. DSOSLS algorithm moves the task from the high makespan virtual machine to low makespan virtual machine. The experimental analysis shows that the DSOSLS algorithm reduces the makespan at a higher level.
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页数：4
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