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  • 标题:A Study on Extremal Optimization Based Load Balancing Techniques
  • 本地全文:下载
  • 作者:Tanvi ; Kiranbir Kaur
  • 期刊名称:Indian Journal of Computer Science and Engineering
  • 印刷版ISSN:2231-3850
  • 电子版ISSN:0976-5166
  • 出版年度:2017
  • 卷号:8
  • 期号:2
  • 页码:95-101
  • 出版社:Engg Journals Publications
  • 摘要:In the running generation of world, cloud has become the most lightening and powerfulterm.Cloud computing is a term that expands on many years of research in virtualization, distributedcomputing, utility computing, systems administration, web and software services. It emerged as the mostpopular distributed computing paradigm out of all others.It gives on-demand access to shared pool ofresources in a self-benefit, progressively adaptable and metered way with ensured Quality of service toclients.Extremal Optimization is implemented in processor load balancing in execution of distributedprogramming used in cloud computing. It is a nature-inspired meta-heuristic technique. This algorithmfinds an optimized strategy of task migration. EO simply based on betterment of single solutionrepresentation with low memory and operational complexities focused with requirements of loadbalancing problems. In this paper it has also discussed the comparison of various technologies related tocloud computing based on various parameters i.e. speed up, migration cost etc. the overall objective ofthis paper is that EO gives better convergence of the calculation,less number of task migrations to bedone and reduced execution time of utilization.
  • 关键词:Extremal Optimization; Distributed programming; Task Migration; Load Balancing; Parallel;Computing; Multicore Computing; Processor scheduling
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