
Consistency Maintenance in Replication: A Novel Strategy Based on Diamond Topology in Cloud Storage
Author(s) -
Luo Siwei,
Hou Mengshu,
Zhan Siyu,
Lyu Mengjie,
Li Ming
Publication year - 2017
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2016.10.006
Subject(s) - replication (statistics) , cloud storage , consistency (knowledge bases) , cloud computing , computer science , distributed computing , topology (electrical circuits) , data consistency , mathematics , operating system , artificial intelligence , statistics , combinatorics
The problem of consistency maintenance in replication is a fundamental issue in cloud storage. Existing solutions either cannot obtain good efficiency, or suffer low reliability. We propose a novel consistency maintenance strategy based on diamond topology. It organizes all the nodes in cloud storage system into a high symmetrical, reliable structure. The experimental results show that our diamond topology reduces the network overhead by 55.9% at least, compared to state‐of‐the‐art random topology, and achieves at most 49.1% enhancement in reliability towards to tree topology.