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An Efficient Data Management Scheme Based on Spatial and Temporal Characteristics in Virtual Environments

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2 Author(s)
Hsing-Jen Chen ; Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan 621, Republic of China. +886-5-272-0411 ext 23101; fax: +886-5-272-0859; e-mail: ; Damon Shing-Min Liu

In a distributed interactive walkthrough system, there are two major bottlenecks which cause performance degradation. One is the server-side workload in the client-server architecture; the other is the network transmission delay. In this paper, we present a knowledge-based data management scheme which takes consideration of both internal (memory) and external (disk) data storage management to ease server-side workload and reduce network transmissions. Our system first analyzes users' logs to discover the spatial and temporal semantic patterns in the virtual environment. Using these patterns, we can determine the proper data layout on disk, and better improve our caching mechanism. Experimental results show good prediction rates and achieve improvements in overall system performance

Published in:

Computational Intelligence and Data Mining, 2007. CIDM 2007. IEEE Symposium on

Date of Conference:

March 1 2007-April 5 2007