Affinity replica selection in distributed systems
Replication is one of the key techniques used in distributed systems to improve high data availability, data access performance and data reliability. To optimize the maximum benefits from file replication, a systems that includes replicas need a strategy for selecting and accessing suitable replic...
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Main Authors: | , , , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2019
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Subjects: | |
Online Access: | http://eprints.unisza.edu.my/2600/1/FH03-FIK-19-27581.pdf http://eprints.unisza.edu.my/2600/ |
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Summary: | Replication is one of the key techniques used in distributed systems to improve high data availability, data access
performance and data reliability. To optimize the maximum benefits from file replication, a systems that includes
replicas need a strategy for selecting and accessing suitable replicas. A replica selection strategy determines the
available replicas and chooses the most access files. In most of these access frequency based solutions or popularity of
files are assuming that files are independent of each other. In contrast, distributed systems such as peer-to-peer file
sharing, and mobile database, files may be dependent or correlated to one another. Thus, this paper focused on the
combination of popularity and affinity files as the most important parameters in selecting replicas in distributed
environments. Herein, a replica selection is proposed focusing on popular files and affinity files. The idea is to
improve data availability in distributed data replica selection strategy. A P2P simulator, PeerSim, is used to evaluate the
performance of the dynamic replica selection strategy. The simulation results provided a proof that the proposed
affinity replica selection has contributed towards a new dimension of replica selection strategy that incorporates the
affinity and popularity of file replicas in distributed systems. |
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