Homogeneous Agent-Based Distributed Information Filtering

Authors:
Rajeev R. Raje;Mingyong Qiao;Snehasis Mukhopadhyay;Mathew Palakal;Shengquan Peng;Javed Mostafa
Affiliations:
Department of Computer and Information Science, Indiana University Purdue University Indianapolis, 723 W. Michigan Street, SL 280, Indianapolis, IN 46202, USA;Department of Computer and Information Science, Indiana University Purdue University Indianapolis, 723 W. Michigan Street, SL 280, Indianapolis, IN 46202, USA;Department of Computer and Information Science, Indiana University Purdue University Indianapolis, 723 W. Michigan Street, SL 280, Indianapolis, IN 46202, USA;Department of Computer and Information Science, Indiana University Purdue University Indianapolis, 723 W. Michigan Street, SL 280, Indianapolis, IN 46202, USA;Department of Computer and Information Science, Indiana University Purdue University Indianapolis, 723 W. Michigan Street, SL 280, Indianapolis, IN 46202, USA;School of Informatics, Indiana University, 1320 East tenth street, Room 025, Bloomington, IN 47405, USA
Venue:
Cluster Computing
Year:
2002

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Abstract

Recent advances in processor, networking and software technologies have made distributed computing a reality in today's world. Distributed systems offer many advantages, ranging from a higher performance to the effective utilization of physically dispersed resources. Many diverse application domains can benefit by exploiting principles of distributed computing. Information filtering is one such application domain. In this article, we present a design of a homogeneous distributed multi-agent information filtering system, called D-SIFTER. D-SIFTER is based on the language-dependent model of Java RMI. The detailed design process and various experiments carried out using D-SIFTER are also described. The results indicate that the distributed inter-agent collaboration improves the overall filtering performance.