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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM16046

LOAD BALANCING IN VIRTUAL MACHINE FOR DYNAMIC ALLOCATION METHOD IN CLOUD COMPUTING

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM16046

Volume:

6 |

8 |

Aug 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MS

MAHANKALI SARITHA

DL

Dr.GUGULOTH LACHIRAM

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Abstract

This paper proposes a Dynamic resource allocation method for Cloud computing. Cloud computing is a model for delivering information technology services in which resources are retrieved from the internet through web-based tools and applications, rather than a direct connection to a server. Users can set up and boot the required resources and they have to pay only for the required resources. Thus, in the future providing a mechanism for efficient resource management and assignment will be an important objective of Cloud computing. In this project we propose a method, dynamic scheduling and consolidation mechanism that allocate resources based on the load of Virtual Machines (VMs) on Infrastructure as a service (IaaS). This method enables users to dynamically add and/or delete one or more instances on the basis of the load and the conditions specified by the user. Our objective is to develop an effective load balancing algorithm using Virtual Machine Monitoring to maximize or minimize different performance parameters(throughput for example) for the Clouds of different sizes (virtual topology de-pending on the application requirement).

KEYWORDS

Cloud computing Infrastructure-as-a-Service Amazon ec2 Optimizing VM Load Load balancing.

Cite This Article

MAHANKALI SARITHA, Dr.GUGULOTH LACHIRAM, "LOAD BALANCING IN VIRTUAL MACHINE FOR DYNAMIC ALLOCATION METHOD IN CLOUD COMPUTING," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 8, Aug 2022.

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Publication Date

8/7/2022

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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