A Bit String Content Aware Chunking Strategy for Reduced CPU Energy on Cloud Storage. (17th August 2015)

• Record Type: Journal Article
• Authors: Zhou, Bin; Zhang, ShuDao; Zhang, Ying; Tan, JiaHao
• Other Names: Liu Lu Academic Editor.
• Is Part Of: Journal of electrical and computer engineering. Volume 2015(2015)
• Publication Date: 2015-08-17
• Subjects: Computer engineering -- Periodicals; Electrical engineering -- Periodicals; 621.3905
• DOI: 10.1155/2015/242086
• Languages: English
• ISSNs: 2090-0147

Abstract

Abstract : In order to achieve energy saving and reduce the total cost of ownership, green storage has become the first priority for data center. Detecting and deleting the redundant data are the key factors to the reduction of the energy consumption of CPU, while high performance stable chunking strategy provides the groundwork for detecting redundant data. The existing chunking algorithm greatly reduces the system performance when confronted with big data and it wastes a lot of energy. Factors affecting the chunking performance are analyzed and discussed in the paper and a new fingerprint signature calculation is implemented. Furthermore, a Bit String Content Aware Chunking Strategy (BCCS) is put forward. This strategy reduces the cost of signature computation in chunking process to improve the system performance and cuts down the energy consumption of the cloud storage data center. On the basis of relevant test scenarios and test data of this paper, the advantages of the chunking strategy are verified.