Stream integration techniques for grid monitoring

Andy Cooke, A. J G Gray, Werner Nutt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Grids are distributed systems that provide access to computational resources in a transparent fashion. Providing information about the status of the Grid itself is called Grid monitoring. As an approach to this problem, we present the Relational Grid Monitoring Architecture (R-GMA), which tackles Grid monitoring as an information integration problem. A novel feature of R-GMA is its support for integrating stream data via a simple " local as view" approach. We describe the infrastructure that R-GMA provides for publishing and querying monitoring data. In this context, we discuss the semantics of continuous queries, provide characterisations of query plans, and present an algorithm for computing such plans. The concepts and mechanisms offered by R-GMA are general and can be applied in other areas where there is a need for publishing and querying information in a distributed fashion. © Springer-Verlag Berlin Heidelberg 2004.

Original languageEnglish
Title of host publicationJournal on Data Semantics II
Pages136-175
Number of pages40
Volume3360 LNCS
Publication statusPublished - 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3360 LNCS
ISSN (Print)0302-9743

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    Cooke, A., Gray, A. J. G., & Nutt, W. (2005). Stream integration techniques for grid monitoring. In Journal on Data Semantics II (Vol. 3360 LNCS, pp. 136-175). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3360 LNCS).