Volume : VI, Issue : II, February - 2017

Multi Objective Tiger Hash Storing For Maximal Cloud Service Distribution in Green Environment

S. Nivas

Abstract :

 Data storage has become a significant issue with the extensive availability of cheap storage technology and the improvement of global data centers for green cloud storage. Recently, few research works has been designed for green cloud storage. But, three is a need for effective green cloud storage system for improving data storage capacity and reducing the data accessing time. In order to such limitation, Multi Objective Tiger Hash Storing (MOTHS) Technique is proposed. The MOTHS Technique improves the energy storage during the multiple communication between different virtual cloud servers in green cloud computing. In MOTHS Technique, Tiger Hash Tree is constructed to achieve efficient data dynamics for improving the storage models and reducing the user task service rendering complexity. Besides, the MOTHS Technique supports dynamic operation on cloud data while maintaining the same level of storage correctness and maximizes the service distribution according to green cloud environmental attributes. The user’s scalability along with storage capability of communication tasks is analyzed to achieve better green cloud data storage. The performance of MOTHS Technique is measured in terms of data storage capacity, storage time, energy consumption and accessing time. The experimental analysis shows that the MOTHS Technique is able to improve the data storage capacity 16% and also reduces the data accessing time 42% when compared to the state–of–the–art works.

Keywords :

Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

S.NIVAS, Multi Objective Tiger Hash Storing For Maximal Cloud Service Distribution in Green Environment, INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH : VOLUME-6 | ISSUE-2 | FEBRUARY-2017

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