Improved bee swarm optimization algorithm for load scheduling in cloud computing environment

Divya Chaudhary, Bijendra Kumar, Sakshi Sakshi, Rahul Khanna

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

2 Scopus citations

Abstract

The cloud acts as a model that contains an aggregation of resources and data that needs to be shared among users. The scheduling of the load acts as a major challenge to fulfill the requests of the several users. Till now several algorithms have been proposed for fulfilling the purpose of load scheduling in cloud. The latest works are based on swarm-intelligence techniques. However, one such swarm-intelligence technique Bee Swarm Optimization (BSO) has not been exploited for serving this purpose. In this paper, an improvised version of BSO, the Improved Bee Swarm Optimization in Cloud (IBSO-C) has been proposed with the objective of efficient and cost-effective scheduling in cloud. It uses the swarm of particles as bees for scheduling and updated total cost evaluation function. The proposed algorithm is validated and tested by analysis on large set of iterations. The comparison of results with existing techniques has proven, the proposed IBSO-C to be a more cost-effective algorithm.

Original languageEnglish
Title of host publicationData Science and Analytics - 4th International Conference on Recent Developments in Science, Engineering and Technology, REDSET 2017, Revised Selected Papers
EditorsBrajendra Panda, Nihar Ranjan Roy, Sudeep Sharma
PublisherSpringer Verlag
Pages400-413
Number of pages14
ISBN (Print)9789811085260
DOIs
StatePublished - 1 Jan 2018
Externally publishedYes
Event4th International Conference on Recent Developments in Science, Engineering and Technology, REDSET 2017 - Gurgaon, India
Duration: 13 Oct 201714 Oct 2017

Publication series

NameCommunications in Computer and Information Science
Volume799
ISSN (Print)1865-0929

Conference

Conference4th International Conference on Recent Developments in Science, Engineering and Technology, REDSET 2017
Country/TerritoryIndia
CityGurgaon
Period13/10/1714/10/17

Keywords

  • BSO
  • Cloud computing
  • Load scheduling
  • PSO
  • Swarm intelligence

ASJC Scopus subject areas

  • Computer Science (all)
  • Mathematics (all)

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