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Title:A Model-Driven Approach to Distributed Information Management
Author(s):Liang, Jin; Gu, Xiaohui; Nahrstedt, Klara
Subject(s):distributed systems
Abstract:In this paper, we present a model-driven distributed information management system called MDIM that can resolve multi-attribute range queries about large-scale networked systems. Different from previous work, MDIM can adaptively configure its information collection and query resolution operations based on a dynamically maintained information model. The information model captures both statistical information query patterns (e.g., frequently queried attributes, frequently queried value ranges) and information attribute properties (e.g., node attribute distributions). Thus, MDIM can better scale to large numbers of system nodes and attributes than static schemes by intelligently minimizing monitoring overhead. We have implemented a prototype of MDIM and evaluated its performance using both extensive simulations and micro-benchmark experiments. Our experimental results show that MDIM always produce much smaller system overhead than static monitoring schemes. More importantly, when system conditions or query patterns change, MDIM can adaptively reconfigure itself in response to the changes.
Issue Date:2006-02
Genre:Technical Report
Other Identifier(s):UIUCDCS-R-2006-2686
Rights Information:You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the University of Illinois at Urbana-Champaign Computer Science Department under terms that include this permission. All other rights are reserved by the author(s).
Date Available in IDEALS:2009-04-20

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