A Multi-Agent system architecture for end-user level Grid monitoring using Geographic Information Systems (MAGGIS): Architecture and implementation

Shaowen Wang, Anand Padmanabhan, Yan Liu, Ransom Briggs, Jun Ni, Tao He, Boyd M. Knosp, Yasar Onel

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This paper illustrates a Multi-Agent system architecture for end-user level Grid monitoring using Geographical Information Systems (MAGGIS). The purpose of this research is to investigate MAGGIS architecture and implementation issues, and to verify the following two hypotheses: 1.) multi-agent systems provide an effective and scalable architecture to synthesize various Grid information providers for monitoring Grid resources; and 2.) geographic information systems (GIS) provide an ideal solution to organizing and managing the geographic aspect of Grid resource information as well as to providing an effective user interface for monitoring Grid status. The MAGGIS framework is implemented in a Grid portal environment based on the open Grid service architecture. It is observed that the MAGGIS not only helps end-users monitor the status of Grid resources, but also provides quick and comprehensive information for resource scheduling and management on behalf of user applications.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsMinglu Li, Qianni Deng, Xian-He Sun, Jun Ni
PublisherSpringer-Verlag Berlin Heidelberg
Pages536-543
Number of pages8
ISBN (Print)3540219889, 9783540219880
DOIs
StatePublished - Jan 1 2004
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3032
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Wang, S., Padmanabhan, A., Liu, Y., Briggs, R., Ni, J., He, T., Knosp, B. M., & Onel, Y. (2004). A Multi-Agent system architecture for end-user level Grid monitoring using Geographic Information Systems (MAGGIS): Architecture and implementation. In M. Li, Q. Deng, X-H. Sun, & J. Ni (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 536-543). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3032). Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-540-24679-4_97