Load Balancing in Cloud Based on Live Migration of Virtual Machines

被引：0
|
作者：
Achar, Raghavendra [1 ]
Thilagam, P. Santhi [1 ]
Soans, Nihal [2 ]
Vikyath, P. V. [2 ]
Rao, Sathvik [2 ]
Vijeth, A. M. [2 ]
机构：
[1] Natl Inst Technol Karnataka, Dept Comp Sci & Engn, Surathkal 575025, India
[2] St Joseph Engn Coll, Dept Comp Sci & Engn, Mangalore 575028, India
来源：
2013 ANNUAL IEEE INDIA CONFERENCE (INDICON) | 2013年
关键词：
Virtual Machine; Live Migration; 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 an upcoming trend in the field of computer science in recent years. In cloud, computing resources are provided as service in the form of virtual machine to its clients across the globe based on demand. Huge demand for cloud resources results in overutilization of servers whenever there is a heavy load. It is necessary to distribute the load across the servers in cloud by taking into consideration of allocating the right amount of resources dynamically based on the load to improve the performance of applications running in virtual machines. In this paper we present an algorithm which dynamically allocate resources based on the need and distribute the load across the servers. We conducted the experiment on Xen Cloud Platform. We use response time as a metric. The experiments conducted shows that the proposed algorithm improves the performance of applications running in virtual machines by using the feature scaling and migration.
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页数：5
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