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Review of Delay and Cost Efficient Methods in Cloud Computing
Ninad Shinde1, J. Ratnaraja Kumar2

1Mr. Ninad Shinde, M.E. Department of Computer Science Genba Sopanrao Moze College Of Engineering, Balewadi, Pune (Maharashtra), India.
2Prof. J. Ratnaraja Kumar, Genba Sopanrao Moze College Of Engineering, Balewadi, Pune (Maharashtra), India.

Manuscript received on 21 November 2013 | Revised Manuscript received on 28 November 2013 | Manuscript published on 30 November 2013 | PP: 98-101 | Volume-2 Issue-5, November 2013 | Retrieval Number: E0898112513/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Now days the approach of cloud computing is providing utility oriented computer services to end users all over the world. At same time, cloud users can make number of requests for different cloud services and their resources. With help cloud we can able to access our personal or public data or applications from anyplace and anywhere. Many commercial companies from the world can able to take the required resources on rent from the cloud for storage of their private data as well as for other purposes. This can help companies to reduce their costs in using extra infrastructures significantly. Cloud can offer companies security to their applications or data and allow its access to them based on pay-as-you-go model. As the number of requests to cloud computing for their usages resulted into the disadvantages as well. The main challenge in cloud computing is related to the efficient allocation of their resources. If there is no optimized technique for resource allocation in cloud computing then it resulted into long delays, end user hang out, request failure. Hence it is required to use optimized resource allocation technique with aim of minimizing resource allocation delays and their costs. In this paper we are aiming to present different techniques for resource allocation in cloud computing.
Keywords: Cloud Computing, Resource Allocation, Cost Optimization, Resource Management, Quality of Service.

Scope of the Article: Cloud Computing