Implementation of Novel Load Balancing Technique in Cloud Computing Environmen

Narayan Joshi, Ketan Kotecha, D. B. Choksi, Sharnil Pandya

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

Spectacular benefits of virtualization and cloud computing technologies have stimulated the Information and Communication Technology sector towards adopting cloud computing. Various ICT-enabled service providers also have either adopted cloud computing or started migrating services to cloud infrastructure. However, the increasing demand for cloud based infrastructure has resulted into severe problem of resource management and load balancing for cloud service providers and consumers. Researchers have suggested various load balancing techniques for efficient resource utilization in cloud. A novel load balancing technique representing relocation of workload from overloaded VM to lightly loaded VM in cloud computing environment is presented in this paper. An attempt is made to help the cloud stake holders to overcome the imbalanced resource utilization problem is presented in this paper. The approach presented here is also useful during disaster management for safeguarding end-user applications and thereby assisting upholding cloud services.

Original languageEnglish
Title of host publication2018 International Conference on Computer Communication and Informatics, ICCCI 2018
PublisherIEEE
ISBN (Print)9781538622384
DOIs
Publication statusPublished - 20 Aug 2018
Externally publishedYes
Event8th International Conference on Computer Communication and Informatics, ICCCI 2018 - Coimbatore, India
Duration: 4 Jan 20186 Jan 2018

Publication series

Name2018 International Conference on Computer Communication and Informatics, ICCCI 2018

Conference

Conference8th International Conference on Computer Communication and Informatics, ICCCI 2018
Country/TerritoryIndia
CityCoimbatore
Period4/01/186/01/18

Keywords

  • cloud computing
  • load balancing
  • load sharing
  • process migration
  • task migration
  • virtual machine

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