Review of Various Performcae Evaluation Issues and Efficient Load Balancing for Cloud Computing

Authors

  • Deepali Simaiya  Department of CSE, Vedica Institute of Technology Bhopal, India
  • Raj Kumar Paul  Department of CSE, Vedica Institute of Technology Bhopal, India

Keywords:

Cloud Computing, Load Balancing, Performance Improvement.

Abstract

Cloud computing is widely used technology. It serves computing resources as a service. Cloud mainly focused on optimum utilization of computing resources. Major cloud services are SaaS, PaaS, SaaS and IaaS. Cloud user uses cloud services based on “Pay and use” concept. Day by day cloud users and services are getting increased. So it quit challenging for cloud service providers to provide efficient services in optimum cost to cloud users. In cloud computing load balancing plays a vital role to improve cloud performance. A load balancing method transfer or migrates a task for over loaded machine to under loaded machine without effecting current user running tasks.. Various load balancing methods are suggested by cloud researchers. Existing load balancing methods encounters with several issues such a poor throughput, higher waiting time, improper balancing, poor make span time. In this survey we are presenting review of various performance improvement parameters and load balancing methods for cloud computing.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Deepali Simaiya, Raj Kumar Paul, " Review of Various Performcae Evaluation Issues and Efficient Load Balancing for Cloud Computing" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.943-951, March-April-2018.