Journal - Volume I No.1 August 2014

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  • Title

    :

    GREEN CLOUD COMPUTING FOR AUCTION BASED RESOURCE ALLOCATION

    Authors

    :

    S.Arun Kumar1, S.Rajathi2 ,S.JayaKumar3

    Keywords

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    Cloud computing, energy-aware, resource allocation,  combinatorial auction, inexperienced  cloud computing

    Issue Date

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    July – 2014

    Abstract

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    Cloud   computing   is rising   as a paradigm for large-scale data-intensive applications. Cloud infrastructures allows users to remotely access computing power and information over the net. Besides the large economic impact, information centers consume huge quantity of electrical energy, contributory to high operational value and  carbon footprints to the surroundings. Associate in Nursing  advanced   resource allocation  model  is thus required  to not solely cut back the energy  consumption of information  centers b conjointly give  incentives  to users  to optimize  their  resource utilization and reduce  the quantity  of energy consumed  for execution their application. In short, this  paper provides  a novel re- supply allocation  model exploitation combinatorial auction  mechanisms and  taking  into  account  the  energy  parameter. primarily based  on  this model, we have a tendency to propose 3  monotone  and truthful algorithms used for  winners  determination and  payments  computation, particularly thoroughgoing  search rule (ESA), linear  relaxation primarily based  randomized rule (LRRA)  and inexperienced  greedy rule (GGA). We have a tendency to perform numerical simulations to guage the performance of 3 projected algorithms. Our numerical simulations show that the inexperienced greedy rule will significantly cut back the quantity of consumed energy whereas generating higher revenue for cloud suppliers.

    Page(s)

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    1-9

    ISSN

    :

    2347- 4734

    Source

    :

    Vol. 1, No.1

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