Demand Side Management Using Optimized Resource Allocation in Cloud Platform

Authors

  • Sreevathsa D. B.  UG Student Velammal Engineering College, Chennai, Tamil Nadu, India
  • Vinoth Kumar M. S  UG Student Velammal Engineering College, Chennai, Tamil Nadu, India
  • Sridevi. S  Assistant Professor Velammal Engineering College, Chennai, Tamil Nadu, India

Keywords:

DSM, ICT, Stakeholders.

Abstract

With the rapid increase in the observation devices and governable facilities within the demand of people(customers), additional solid data and communication technology (ICT) resources are needed to support the event of demand side management(DSM) [1].Totally different from ancient computation in power systems that customizes ICT resources for mapping applications on an individual basis, DSM particularly asks for quantifiability and economic potency, as a result of there are more and more stakeholders involving within the computation method. This paper proposes a unique cost-oriented improvised approach for a cloud based ICT infrastructure to apportion cloud computing resources during a versatile and efficient means. Unsure factors as well as inexact computation load prediction and inconvenience of computing instances may also be thought-about within the projected model. A changed priority list formula is specially developed so as to with efficiency solve the projected improvement model.

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]
Sreevathsa D. B., Vinoth Kumar M. S, Sridevi. S, " Demand Side Management Using Optimized Resource Allocation in Cloud Platform , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.991-995, March-April-2018.