A SURVEY OF DYNAMIC REPLICATION STRATEGIES FOR IMPROVING RESPONSE TIME IN DATA GRID ENVIRONMENT

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MANSOURI N.; JAVIDI M.M.

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Journal Paper

Paper Information

Journal: AUT Journal of Modeling and Simulation Year:2017 | Volume:49 | Issue:2 Page(s): 239-263

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Information Journal Paper

Title

A SURVEY OF DYNAMIC REPLICATION STRATEGIES FOR IMPROVING RESPONSE TIME IN DATA GRID ENVIRONMENT

Author(s)

MANSOURI N. | JAVIDI M.M. | Issue Writer Certificate

Keywords

DATA GRID

DYNAMIC REPLICATION

DATA AVAILABILITY

SIMULATION

Abstract

Large-scale data management is a critical problem in a distributed system such as cloud, P2P system, World Wide Web (WWW), and DATA GRID. One of the effective solutions is data replication technique, which efficiently reduces the cost of communication and improves the data reliability and response time. Various replication methods can be proposed depending on when, where, and how replicas are generated and removed. In this paper, different replication algorithms are investigated to determine which attributes are assumed in a given algorithm and which are declined. We provide a tabular representation of important factors to facilitate the future comparison of data replication algorithms. This paper also presents some interesting discussions about future works in data replication by proposing some open research challenges.

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APA: Copy

MANSOURI, N., & JAVIDI, M.M.. (2017). A SURVEY OF DYNAMIC REPLICATION STRATEGIES FOR IMPROVING RESPONSE TIME IN DATA GRID ENVIRONMENT. AUT JOURNAL OF MODELING AND SIMULATION, 49(2), 239-263. SID. https://sid.ir/paper/352240/en

Vancouver: Copy

MANSOURI N., JAVIDI M.M.. A SURVEY OF DYNAMIC REPLICATION STRATEGIES FOR IMPROVING RESPONSE TIME IN DATA GRID ENVIRONMENT. AUT JOURNAL OF MODELING AND SIMULATION[Internet]. 2017;49(2):239-263. Available from: https://sid.ir/paper/352240/en

IEEE: Copy

N. MANSOURI, and M.M. JAVIDI, “A SURVEY OF DYNAMIC REPLICATION STRATEGIES FOR IMPROVING RESPONSE TIME IN DATA GRID ENVIRONMENT,” AUT JOURNAL OF MODELING AND SIMULATION, vol. 49, no. 2, pp. 239–263, 2017, [Online]. Available: https://sid.ir/paper/352240/en

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