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RMI-DRE: a redundancy-maximizing identification scheme for data redundancy elimination

Dear editor, Data redundancy elimination (DRE) technology can efficiently reduce the redundant IP traffic in the network [1,2]. A detailed DRE process consists of many steps, such as the fingerprint selection, chunk matching, packet encoding, and packet decoding [3]. Fingerprint selection is one of...

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Published in:Science China. Information sciences 2016-08, Vol.59 (8), p.252-254, Article 089301
Main Authors: Zhang, Nan, Yang, Xiaolong, Zhang, Min, Long, Keping
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description Dear editor, Data redundancy elimination (DRE) technology can efficiently reduce the redundant IP traffic in the network [1,2]. A detailed DRE process consists of many steps, such as the fingerprint selection, chunk matching, packet encoding, and packet decoding [3]. Fingerprint selection is one of the most important factors for DRE. In traditional DRE, the redundant chunk size is set to a fixed value. The fixed chunk size will affect the DRE performance seriously, so keeping the redundant chunk size variable is necessary [4]. Hence, multi-resolution chunking (MRC) has been proposed. However, MRC does not consider the overlap between the adjacent chunks, which in- evitably brings some unnecessary overhead. Be- sides, chunk-matching is another key point for DRE. There are two popular chunk matching mechanisms, i.e., Chunk-Match and Max-Match. Chunk-Match may not bring much storage over- head, but the size of chunk-matching is lim- ited, which results in some redundant bytes to be missed. By contrast, Max-Match can maxi- mize the size of chunk-matching by extending the boundary of the identified redundant chunk to- wards its front or rear.
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subjects Computer Science
Information Systems and Communication Service
IP流量
Letter
MRC
Redundancy
匹配机制
块匹配
数据冗余
数据包
最大化
识别
title RMI-DRE: a redundancy-maximizing identification scheme for data redundancy elimination
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