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Replica Consistency Maintenance Stratgey for P2P Storage System

Fang Hou

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Abstract

Replica strategy is an effective way to improve the scalability,fault-tolerance,and availability in P2P storage system.With the development of new applications,the P2P replica applications change from read-only static files sharing to read-write dynamic files interacting.This paper presents an replica consistency maintenance strategy,an Replica Information Broadcast tree(RBT).The strategy stores the replica information in the binary tree,which makes use of subscribe and unsubscribe algorithm to maintain replica consistency.Experiment proves it can effectively reduce maintenance costs and avoid some associated problems.

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What this paper is about

Replica strategy is an effective way to improve the scalability,fault-tolerance,and availability in P2P storage system.With the development of new applications,the P2P replica applications change from read-only static files sharing to read-write dynamic files interacting.This paper presents an replica consistency maintenance strategy,an Replica Information Broadcast tree(RBT).The strategy stores the replica information in the binary tree,which makes use of subscribe and unsubscribe algorithm to maintain replica consistency.Experiment proves it can effectively reduce maintenance costs and avoid some associated problems.

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Available abstract

Replica strategy is an effective way to improve the scalability,fault-tolerance,and availability in P2P storage system.With the development of new applications,the P2P replica applications change from read-only static files sharing to read-write dynamic files interacting.This paper presents an replica consistency maintenance strategy,an Replica Information Broadcast tree(RBT).The strategy stores the replica information in the binary tree,which makes use of subscribe and unsubscribe algorithm to maintain replica consistency.Experiment proves it can effectively reduce maintenance costs and avoid some associated problems.

Key concepts: Replica, Computer science, Scalability, Consistency (knowledge bases), Eventual consistency, Distributed computing, Fault tolerance, High availability

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