An adaptive distribution model for multi-dimensional data in decentralized environments

Authors:
Wei He;Lizhen Cui
Affiliations:
School of Computer Science and Technology, Shandong University, Jinan, P.R. China;School of Computer Science and Technology, Shandong University, Jinan, P.R. China
Venue:
WISM'11 Proceedings of the 2011 international conference on Web information systems and mining - Volume Part I
Year:
2011

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Abstract

In recent years, decentralized network infrastructures, such as peer-to-peer and cloud computing, are becoming one of the mainstreams on Internet. At the same time, applications in such environments have become a very significant source of internet traffic. Because of the decentralized data centers, new challenges are arising in data allocation and search, including reducing the latency of data movements and search, returning data with high-quality and keeping balanced load among data centers. This paper discusses an adaptive distribution model for multi-dimensional data in decentralized environments addressing the above challenges which can make the data distribution more efficient and symmetrical among decentralized data peers. Then, a 3-phase search strategy for multi-dimensional data based on the model is proposed. Simulation results show that our strategy can effectively meet the integrative demands for search performance, data quality and load balance among data centers.