NDLI: Study and Optimize the Process of Batch Small Files Replication

Content Provider	IEEE Xplore Digital Library
Author	Liang Xiao Qiang Cao Changsheng Xie Chuanwen Wu
Copyright Year	2008
Description	Author affiliation: Key Lab. of Data Storage Syst., Huazhong Univ. of Sci. & Technol., Wuhan, China (Liang Xiao; Qiang Cao; Changsheng Xie; Chuanwen Wu)
Abstract	I/O performance is always the traditional criterion for the evaluation of storage system. Many researches have been being carried on how to improve the storage system performance, mainly focusing on the storage architecture and I/O optimization for the storage devices. In many application systems, the phenomenon of replicating batch small files between two locations widely exists and always represents poor performance in systems. This paper analyzes and optimizes replication process for batch small files in Linux file system. In local case, six algorithms are achieved by using parallel, consecutive and aggregating polices in different stages of the whole process. In network case, achieve and compress strategies are also introduced and compared with aggregating algorithm. Moreover, the average latency of basic operations in each stage of file I/O can be estimated accurately, which is helpful for future research of file system. The experiment shows that the algorithm of consecutive reading source files and parallel writing target files have the best performance in local replication, and aggregating algorithm also do in network replication.
Starting Page	103
Ending Page	111
File Size	329167
Page Count	9
File Format	PDF
ISBN	9781424434183
DOI	10.1109/FCST.2008.32
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-27
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Geography Educational technology Batch Small Files Application software Delay Data storage systems Computer science File systems System performance File System Performance Optimizing Computer science education Data communication
Content Type	Text
Resource Type	Article

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