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  Published Paper Details:

  Paper Title

MULTI-OBJECTIVE TASK SCHEDULING IN CLOUD COMPUTING USING BACTERIAL FORAGING OPTIMIZATION (BFO)

  Authors

  Ruhani Sanan,  Pawan Luthra,  Gagandeep

  Keywords

BFO, ACO, Genetic algorithm, optimization

  Abstract


Distributed computing is a developing with worldview with extensive heterogeneous independent frameworks with adaptable computational capacity. For this planning is an essential to enhance the general calculation and increase the benefit. Cloud computing is the form of distributed computing and also a variant of grid computing. It uses highly in commercial and research purpose but one basic challenge is scheduling of the computation process. Scheduling of computation process is NP-hard problem. So effective task scheduler has adaptive sense to reduce the computation time and increase the utilization by increasing throughput. In this paper experiment performed on different optimization algorithms like BFO, ACO, and Genetic algorithm. BFO perform significant effective in throughput, energy, response time and execution time. The average improvement is 10-20% in every defined parameter.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1807127

  Paper ID - 186366

  Page Number(s) - 80-85

  Pubished in - Volume 6 | Issue 2 | April 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Ruhani Sanan,  Pawan Luthra,  Gagandeep,   "MULTI-OBJECTIVE TASK SCHEDULING IN CLOUD COMPUTING USING BACTERIAL FORAGING OPTIMIZATION (BFO)", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.80-85, April 2018, Available at :http://www.ijcrt.org/papers/IJCRT1807127.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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