A Study of Load Balancing in Cloud Computing using Soft Computing Techniques

نویسندگان

  • Akhil Goyal
  • Shridhar G. Domanal
  • G. Ram Mohana Reddy
  • Seyed Mohssen Ghafari
  • Mahdi Fazeli
  • Ahmad Patooghy
  • Leila Rikhtechi
  • Yatendra Sahu
  • R. K. Pateriya
  • Rajeev Kumar Gupta
  • Huankai Chen
  • Frank Wang
  • Kumar Nishant
  • Pratik Sharma
  • Vishal Krishna
  • Chavvi Gupta
  • Kuwar Pratap Singh
  • Ravi Rastogi
  • L. Zhang
  • Y. H. Chen
  • R. Y. Sun
  • S. Jing
  • B. Yang
  • Vesna Sesum-Cavic
  • Eva Kuhn
چکیده

Cloud computing is a business oriented approach which involves collaboration of multiple computing technologies via internet. With the rapid increase in cloud usage, it becomes a challenge to deliver the services effectively and efficiently as per client's demand. In this concern Load Balancing has become one of the major key areas for research. There are a number of soft computing techniques available to optimize the load. In this paper, those techniques are investigated. We will discuss and compare these soft computing algorithms to provide an overview of the proposed approach i. e. Particle Swarm Optimization (PSO).

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تاریخ انتشار 2014