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  Published Paper Details:

  Paper Title

COMPARATIVE ANALYSIS OF VARIOUS SCHEDULING ALGORITHM IN CLOUD COMPUTING

  Authors

  Priyal Ghetiya,  Dhaval Nimavat

  Keywords

Scheduling, Load Balancing, Virtual Machine, Cloud Computing, Cloud Analyst, CloudSim

  Abstract


Today, cloud computing is an established technology that allows businesses and individuals to store data easily, retrieve it quickly, and access it from any location. Currently, both industry and academia are adopting this technology. Load balancing is crucial for ensuring the efficient operation of different components in the cloud computing environment. When users request specific resources from the cloud, the system supplies them. An effective load balancing strategy is crucial for preventing server overload and ensuring that requested resources are delivered as soon as possible. In this research article, we have presented a critical analysis of various existing cloud load balancing and scheduling algorithms. Different simulation tools are available in the market for simulating cloud load balancing and scheduling algorithms. Additionally, the article discusses different simulation methods and technologies employed by different algorithms. Overall, the research article explains how different scheduling and load balancing algorithms can help in resolving the problem of load distribution in cloud computing systems.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2204412

  Paper ID - 218387

  Page Number(s) - d560-d565

  Pubished in - Volume 10 | Issue 4 | April 2022

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Priyal Ghetiya,  Dhaval Nimavat,   "COMPARATIVE ANALYSIS OF VARIOUS SCHEDULING ALGORITHM IN CLOUD COMPUTING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 4, pp.d560-d565, April 2022, Available at :http://www.ijcrt.org/papers/IJCRT2204412.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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