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Research on Data Reliability in Peer-to-Peer Networks Storage System

Author: XuJinBin
Tutor: WuLiangJie
School: Harbin Engineering University
Course: Applied Computer Technology
Keywords: P2P storage system redundancy strategy service cost data recovery access frequency
CLC: TP393.02
Type: Master's thesis
Year: 2011
Downloads: 15
Quote: 0
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Abstract


With the rapid development of Internet, much data on the internet presents on the trend of growth in geometric progression, the growth of mass data on the interne poses a serious challenge to traditional technology in storage system, P2P-based storage system become main technology for advantages of its high scalability and fully utilizing all the potential resources. However, once the storage system cans not timely access to data for natural disasters, cyber attacks, or malicious corruption, it will produce an impact on work or even irreparable loss, therefore, how to ensure that the data on the reliability of P2P storage system brings into the current research focus.This paper studies data reliability of the structured P2P overlay network, introduces how to optimize and improve the algorithm of data redundancy and data recovery algorithm based on P2P storage system.For improving the efficiency of redundancy strategy, compared with different redundancy strategies, traditional single redundancy strategy brings low efficiency in P2P storage system, the paper proposes the redundancy strategy based on the user experience and service costs of the redundancy strategy, the strategy analysis user data value, according to the service cost model to develop the corresponding redundant rules. According to redundant rules, the most appropriate encoding is chosen for different data. Design a prototype system and the experiment result verifies the validity of the method.Focusing on the issue that the P2P storage system leads to data dropping for data node failure probability, to ensure the data reliable recovery, and improve the system stability of recovery strategy, presenting data reliable recovery strategy based on user access frequency, when the redundant amount of data is not enough, according to the access frequency to develop the recovery strategy, designing and simulating experiment, the experiment result verifies the validity of the method.

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