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Title: Study and Implementation of Resource Allocation Algorithms in Cloud Computing
Authors: Rana, Anmol
Sharma, Ankush
Saini, Hemraj [Guided by]
Keywords: Algorithms
Cloud computing
Issue Date: 2016
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: Cloud computing is an attractive computing model since it allows for the provision of resources on-demand. Such a process of allocation and reallocation of resources is the key to accommodating unpredictable demands and improving the return on investment from the infrastructure supporting the Cloud. However, despite the recent growth of the Cloud Computing market, several problems with the process of resource allocation remain unaddressed. Resource allocation is an integral, evolving part of many data center management problems such as virtual machine placement in data centers, network virtualization, and multi-path network routing. Since the problems are inherently NP-Hard, most existing systems use custom-designed heuristics to find a suitable solution. However, such heuristics are often rigid, making it difficult to extend them as requirements change. In this work, the cloud based resource allocation approach is implemented with the effectiveness of the resources. The work is done on cloudsim that is Java based platform for cloud computing.
Appears in Collections:B.Tech. Project Reports

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