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  Published Paper Details:

  Paper Title

A SURVEY ON TASK SCHEDULING IN CLOUD COMPUTING USING METAHEURISTIC BASED OPTIMIZATION METHODS

  Authors

  Mekala Teja Sree,  Krithika Chukkala,  Pusa Swapna,  Narsinga Bhargavi

  Keywords

Cloud Computing, Task Scheduling, Tabu-Search, Particle Swarm Optimization(PSO), Best-Fit(BF), Grey Wolf Optimization, Cloud Sim Tool.

  Abstract


The information technology (IT) services are now provided outside of the workplace thanks to cloud computing. Unfortunately, there have been some difficulties with cloud computing. In order to decrease the execution time of users' activities (i.e., minimize make-span), and to maximize resource usage, a good mapping between the resources available and users' tasks is required. This is why the task scheduling problem is one of the major challenges. The purpose of this research is to present and put into practice an improved task scheduling method to distribute tasks from users among various computer resources. The proposed algorithm's goal is to enhance resource utilization while reducing execution time and cost. The suggested technique is thought to combine Tabu-Search, Particle Swarm Optimization (PSO), and Best-Fit (BF) and improvised Grey Wolf Optimization Technique using Cloud Sim Tool.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2212006

  Paper ID - 228376

  Page Number(s) - a42-a45

  Pubished in - Volume 10 | Issue 12 | December 2022

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Mekala Teja Sree,  Krithika Chukkala,  Pusa Swapna,  Narsinga Bhargavi,   "A SURVEY ON TASK SCHEDULING IN CLOUD COMPUTING USING METAHEURISTIC BASED OPTIMIZATION METHODS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 12, pp.a42-a45, December 2022, Available at :http://www.ijcrt.org/papers/IJCRT2212006.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: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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