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  • 标题:Efficient Resource Management Technique for Performance Improvement in Cloud Computing
  • 本地全文:下载
  • 作者:Harvinder Singh ; Dr. Anshu Bhasin
  • 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:1
  • 页码:33-39
  • 出版社:Engg Journals Publications
  • 摘要:Cloud computing is growing technology which provide services to user’s on affordable budget. Resource demandcomes with different nature and create uncertainty situation for efficient resource matching and workloadmanagement on resources. Thus service providers’ focus on suitable resource allocation technique for efficientresource matching based on resource availability and requirements. Such matching problems should be addressedusing optimization approach. In this research paper we have presented an optimization approach using ant colonyoptimization (ACO) mechanism for efficient resource matching to minimize execution time. Our presentedalgorithm has been executed on cloud based simulation environment. The comparative analysis of results show thatproposed algorithm performed better against existing algorithms and suitable for resource allocation in cloud toachieve quality of service (QoS) requirements and improve customer reliability.
  • 关键词:Cloud computing; performance; resource allocation; execution time; swarm intelligence.
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