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  Published Paper Details:

  Paper Title

CLOUD COMPUTING RESOURCES PROVISIONING TO MAXIMIZE QUALITY OF SERVICE

  Authors

  Imtiyaz Khan,  Dr. Pankaj Kawadkar

  Keywords

Cloud Computing, Resource Provisioning, Static, Dynamic, Quality of service management, Modelling.

  Abstract


Enterprise apps have migrated to the cloud in large numbers in recent years. One of the challenges of cloud applications is the administration of Quality-of-Service (QoS), which is the issue of allocating resources to an application in order to deliver a service level in terms of performance, availability, and reliability. It is the goal of this paper to give scholars with an overview of current state-of-the-art QoS modelling techniques. Cloud systems are suited. We also examine and characterise their early use to a variety of decision-making issues. emerging in the administration of cloud quality of service. "Resource provisioning" is the term used to describe the selection, deployment, and management of software and hardware resources (e.g., CPUs, storage and networks) to provide guaranteed application performance. In large-scale distributed systems, such as Cloud computing, resource supply is a major and complex problem. Static and dynamic resource provisioning systems both have their own advantages and disadvantages. Quality of Service (QoS) parameters including availability, throughput, response time, security and dependability must be satisfied by these resource provisioning systems in order to prevent SLA breaches.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2103735

  Paper ID - 219651

  Page Number(s) - 6344-6352

  Pubished in - Volume 9 | Issue 3 | March 2021

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Imtiyaz Khan,  Dr. Pankaj Kawadkar,   "CLOUD COMPUTING RESOURCES PROVISIONING TO MAXIMIZE QUALITY OF SERVICE", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 3, pp.6344-6352, March 2021, Available at :http://www.ijcrt.org/papers/IJCRT2103735.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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