University of Illinois Urbana-Champaign

A Model-Driven Approach to Distributed Information Management

Liang, Jin; Gu, Xiaohui; Nahrstedt, Klara

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A Model-Driven Approach to Distributed Information Management.pdf

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https://hdl.handle.net/2142/11160

Description

Title
A Model-Driven Approach to Distributed Information Management
Author(s)
  • Liang, Jin
  • Gu, Xiaohui
  • Nahrstedt, Klara
Issue Date
2006-02
Keyword(s)
distributed systems
Date of Ingest
2009-04-20T19:41:26Z
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.
Type of Resource
text
Genre of Resource
Technical Report
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http://hdl.handle.net/2142/11160
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