Load balancing in cloud based on live migration of virtual machines

Raghavendra Achar, P. Santhi Thilagam, Nihal Soans, P. V. Vikyath, Sathvik Rao, A. M. Vijeth

Research output: Chapter in Book/Report/Conference proceedingConference contribution

24 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2013 Annual IEEE India Conference, INDICON 2013
DOIs
Publication statusPublished - 2013
Event10th Annual Conference of the IEEE India Council, INDICON 2013 - Mumbai, India
Duration: 13-12-201315-12-2013

Conference

Conference10th Annual Conference of the IEEE India Council, INDICON 2013
Country/TerritoryIndia
CityMumbai
Period13-12-1315-12-13

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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