NDLI: Autonomic Ranking and Characterization of Data Sources and Query Processing Sites Using Ant Colony Theory

Content Provider	IEEE Xplore Digital Library
Author	Andrade, E.V. Rodriguez-Martinez, M.
Copyright Year	2009
Abstract	This paper presents a novel approach to the problem of discovering and ranking the characteristics of the data sources and query processing sites in a distributed database system. We model the network as a graph with nodes representing data sources and query processing sites, some of which might be replicated.We introduce a heuristic technique inspired in Ant Colony Theory to dynamically discover,assess and catalog each data source or query-processing site. Our goal is to find possible paths to access the computational resources or data provided by the highest quality sites and define the quality of this sites and data sources. The concept of quality could be defined in terms of performance, freshness, completeness or other metrics. We describe a simulation of the system using Java CSIM and also a preliminary performance and freshness studies designed to analyze the quality of paths found by the Ant Colony algorithm and the accurate of the freshness estimators. These experiments show that our approach is promissory and could do the job than we expect offering the information that the system needs to optimize a query request in a middleware system.
Starting Page	578
Ending Page	583
File Size	1628844
Page Count	6
File Format	PDF
ISBN	9781424441549
DOI	10.1109/AMS.2009.71
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-25
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Java Computational modeling quality of data quality of service Middleware ACO Analytical models middleware metadata Query processing Asia Biology computing Database systems Space exploration
Content Type	Text
Resource Type	Article

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