Performance Measurement Technique of Cloud Storage System

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Abstract:

Researches on technologies about testing aggregate bandwidth of file systems in cloud storage systems. Through the memory file system, network file system, parallel file system theory analysis, according to the cloud storage system polymerization bandwidth and concept, developed to cloud storage environment file system polymerization bandwidth test software called FSPoly. In this paper, use FSpoly to luster file system testing, find reasonable test methods, and then evaluations latest development in cloud storage system file system performance by using FSPoly.

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Periodical:

Advanced Materials Research (Volumes 760-762)

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1197-1201

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Hilbert M, Priscila López. The World's Technological Capacity to Store, Communicate, and Compute Information[J]. Science, 2011, 332 (6025): 60.

DOI: 10.1126/science.1200970

Google Scholar

[2] Cisco System Inc. Cisco Global Cloud Index: Forecast and Methodology, 2010-2015[EB/OL]. http: /www. cisco. com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns1175/Cloud_Index_White_Paper. pdf. 2011. 11. 30.

Google Scholar

[3] Nitin Agrawal, Andrea C. Arpaci-Dusseau and Remzi H. Arpaci-Dusseau. Generating Realistic Impressions for File-System Benchmarking. In FAST (2009).

DOI: 10.1145/1629080.1629086

Google Scholar

[4] N. Agrawal, W.J. Bolosky, J.R. Douceur, and J.R. Lorch. A Five-Year Study of File-System Metadata. In FAST'07, San Jose, CA, February (2007).

DOI: 10.1145/1288783.1288788

Google Scholar

[5] Joseph L N, Mohamed F M, David H C D. Pantheon : Exascale File System Search for Scientific Computing. In: Proceedings of the 23rd International Conference on Scientific and Statistical Database Management. Portland, 2011: 461-469.

DOI: 10.1007/978-3-642-22351-8_29

Google Scholar

[6] SUNDARARAMAN, S., SUBRAMANIAN, S., RAJIMWALE, A., ARPACI-DUSSEAU, A. C., ARPACIDUSSEAU, R. H., AND SWIFT, M. M. Membrane: Operating system support for restartable file systems. In Proceedings of the USENIX Conference on File and Storage Technologies (FAST) (2010).

DOI: 10.1145/1837915.1837919

Google Scholar

[7] O. Khan, R. Burns, J. S. Plank, and C. Huang. In search of I/O-optimal recovery from disk failures. In Workshop on Hot Topics in Storage Systems, (2011).

Google Scholar

[8] A. G. Dimakis, P. B. Godfrey, Y. Wu, M. J. Wainwright, and K. Ramchandran. Network coding for distributed storage systems. IEEE Trans. Inf. Theor., 56(9): 4539–4551, September (2010).

DOI: 10.1109/tit.2010.2054295

Google Scholar

[9] O. Riva, Q. Yin, D. Juric, E. Ucan, and T. Roscoe. Policy expressivity in the Anzere personal cloud. In 2nd ACM Symposium on Cloud Computing (SOCC), Cascais, Portugal, (2011).

DOI: 10.1145/2038916.2038930

Google Scholar