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  • 标题:An Improved Task Scheduling algorithm Based on PSO for Cloud Computing
  • 本地全文:下载
  • 作者:Surinder Singh ; Amit Ranjan
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2017
  • 卷号:5
  • 期号:11
  • 页码:16773
  • DOI:10.15680/IJIRCCE.2017.0511083
  • 出版社:S&S Publications
  • 摘要:In the current scenario, Cloud computing carved itself as an emerging technology which enables theorganization to utilize hardware, software and applications without any upfront cost over the internet. A very efficientcomputing environment is provided by cloud computing where the customers or several tenants are in need of multipleresources to be provided as a service over the internet. The challenge before the cloud service provider is, how efficientlyand effectively the underlying computing resources like virtual machines, network, storage units, and bandwidth etc.should be managed so that no computing device is in under-utilization or over-utilization state in a dynamic environment.A good task scheduling technique is always required for the dynamic allocation of the task to avoid such a situation.Through this thesis we are going to present the new Algorithm based on task scheduling technique, which will distributethe load effectively among the virtual machine so that the overall response time (QoS) should be minimal. A comparisonof this proposed Algorithm of task scheduling technique is performed on CloudSim simulator which shows that, this willoutperform the existing techniques like FCFS, SJF and PSO Model techniques.
  • 关键词:Cloud Computing; Task Scheduling; FCFS; SJF; PSO; QoS.
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