2015Unpublished venueRequires access

Research on Replica Strategy in Cloud Storage System

Lin Huo, Ran Yi

Open publisher page 1 citations

Abstract

Most cloud storage system uses replica technology to ensure data reliability and improve data access efficiency. But in current file system, there are some problems such as the fixed number of replica and replica placement may cause load imbalance. In order to solve these problems, introducing a dynamic replica adjustment strategy and replica placement algorithm, this strategy can dynamic adjust the number of replica along with the change of heat of access and access response time. When placing a replica, in order to make the access efficiency is the highest, propose a replica placement algorithm based on transmission cost, which is select the best place of access efficient is most in placement a replica. Finally, experimental results show the effectiveness of the strategy.

About this research paper

What this paper is about

Most cloud storage system uses replica technology to ensure data reliability and improve data access efficiency. But in current file system, there are some problems such as the fixed number of replica and replica placement may cause load imbalance. In order to solve these problems, introducing a dynamic replica adjustment strategy and replica placement algorithm, this strategy can dynamic adjust the number of replica along with the change of heat of access and access response time. When placing a replica, in order to make the access efficiency is the highest, propose a replica placement algorithm based on transmission cost, which is select the best place of access efficient is most in placement a replica. Finally, experimental results show the effectiveness of the strategy.

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Available abstract

Most cloud storage system uses replica technology to ensure data reliability and improve data access efficiency. But in current file system, there are some problems such as the fixed number of replica and replica placement may cause load imbalance. In order to solve these problems, introducing a dynamic replica adjustment strategy and replica placement algorithm, this strategy can dynamic adjust the number of replica along with the change of heat of access and access response time. When placing a replica, in order to make the access efficiency is the highest, propose a replica placement algorithm based on transmission cost, which is select the best place of access efficient is most in placement a replica. Finally, experimental results show the effectiveness of the strategy.

Key concepts: Replica, Computer science, Cloud computing, Reliability (semiconductor), Data access, Distributed computing, Database, Operating system

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