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  • 标题:Analyzing Resource Allocation Strategies with Elasticity in Multi-Tenant Cloud Environment
  • 本地全文:下载
  • 作者:Dr. Amit Kumar Chaturvedi ; Praveen Sengar ; Kalpana Sharma
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2019
  • 卷号:67
  • 期号:3
  • 页码:151-155
  • DOI:10.14445/22312803/IJCTT-V67I3P129
  • 出版社:Seventh Sense Research Group
  • 摘要:Sharing the resources for maximizing the uses and benefits, is the basic idea behind the cloud computing. Providers share their resources like networks, servers, storage, applications, and services to the clients in an ubiquitous, convenient, and ondemand way. Cloud is a multitenant environment that supports customisable and easily configurable service model. SLA (Service Level Agreements) plays a vital role to bind clients and provides with negotiable and agreed rules and regulations. If anyone violates these rules and regulations then it will be penalized also. The concept of multitenancy increases the use of cloud resources up to an extent, but it also increases the challenges towards resource allocation strategies. Various researchers propose many resource allocation strategies by taking different factors, among all one factor elasticity is common in resource allocation. In this paper, we will present a study of the resource allocation strategies with elasticity in multitenant cloud environment. In this process SLA is always at the centre to do the whole process of providing the elasticity in resource allocation strategies
  • 关键词:Dr. Amit Kumar Chaturvedi; Praveen Sengar; Kalpana Sharma
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