Analyzing Resource Allocation Strategies with Elasticity in Multi-Tenant Cloud Environment
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2019 by IJCTT Journal | ||
| Volume-67 Issue-3 |
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| Year of Publication : 2019 | ||
| Authors : Dr. Amit Kumar Chaturvedi, Praveen Sengar, Kalpana Sharma | ||
| DOI : 10.14445/22312803/IJCTT-V67I3P129 |
MLA Style: Dr. Amit Kumar Chaturvedi, Praveen Sengar, Kalpana Sharma "Analyzing Resource Allocation Strategies with Elasticity in Multi-Tenant Cloud Environment" International Journal of Computer Trends and Technology 67.3 (2019): 151-155.
APA Style:Dr. Amit Kumar Chaturvedi, Praveen Sengar, Kalpana Sharma (2019). Analyzing Resource Allocation Strategies with Elasticity in Multi-Tenant Cloud Environment. International Journal of Computer Trends and Technology, 67(3), 151-155.
Abstract
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 on-demand way. Cloud is a multi-tenant 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 multi-tenancy 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 multi-tenant cloud environment. In this process SLA is always at the centre to do the whole process of providing the elasticity in resource allocation strategies
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Keywords
multi-tenant, elasticity, resource allocation, SLA, QoS Virtual Machine.