A STATISTICAL SURVEY ON VM SCHEDULING IN CLOUD WORKSTATION FOR REDUCING ENERGY CONSUMPTION BY BALANCING LOAD IN CLOUD

被引:0
作者
Bindu, G. B. Hima [1 ]
Janet, J. [2 ]
机构
[1] Sri Venkateswara Coll Engn & Technol Autonomous, Dept Informat Technol, Chittoor, Andhra Pradesh, India
[2] Sri Krishna Coll Engn & Technol Autonomous, Dept Comp Sci & Engn, Coimbatore, Tamil Nadu, India
来源
2017 INTERNATIONAL CONFERENCE ON NETWORKS & ADVANCES IN COMPUTATIONAL TECHNOLOGIES (NETACT) | 2017年
关键词
Virtual Machines (VM); Cloud VM Scheduling; Cloud Computing;
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 one of the emerging technology which is rapidly developing nowadays in the current environment. The Large Scale Organizations are shifting their databases to cloud due to the various services provided by the Cloud Platforms. IAAS is the one of the services which is intended to provide the Client Centric Service to the client as per their need. Large amount of Virtual Machines (VM) are deployed in work stations that is intended to provide the hassle free service to the client on balancing their load to cloud. But the Scheduling in the virtual machine in cloud is one of the challenging task that is evolving in the Cloud Platform. This paper entitles the brief statistical survey on the various techniques that evolves the methodology for scheduling the Work Stations. In this paper, A Brief Study on the various techniques that provides the unique solution for scheduling the Work Stations in cloud to balance the load is being discussed in this paper. The various statistical results are considered here for the detailed survey on the scheduling of the virtual machines and work stations scheduling.
引用
收藏
页码:34 / 43
页数:10
相关论文
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