A Study on Benefits and Classification of Load Balancing in Cloud Computing Environment

Autor: Navneet Sharma, Shweta Saxena, Jayanti Goyal, Akash Saxena
Rok vydání: 2018
Předmět:
Zdroj: SSRN Electronic Journal.
ISSN: 1556-5068
DOI: 10.2139/ssrn.3166545
Popis: Cloud computing is a blend of conveyed, parallel, multi- tenant computing model established on various advancements, for example, virtualization, network, benefit and autonomic computing. Cloud computing innovation enables clients to get solid computing and memory assets and in the meantime, user isn't keen on area and settings of these assets. A cloud computing is emerged as a very important answer providing enterprises a price effective model to ease their computing wants. Due to this emergence technologies, cloud computing has placed several challenges in several aspects. LB in CC gives a productive determination to an assortment of issues residing in CC condition set-up and utilize LB must consider two principle undertakings, one resource provisioning or asset task and other is errand getting ready for coursed condition. This paper provides details of the proposed work on AMO based approach in this chapter for load balancing in cloud computing.
Databáze: OpenAIRE