Intelligent service trading and brokering for distributed network services in gridSolve

Aurélie Hurault, Asim Yarkhan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

One of the great benefits of computational grids is to provide access to a wide range of scientific software and a variety of different computational resources. It is then possible to choose from this large variety of available resources the one that solves a given problem, and even to combine these resources in order to obtain the best solution. Grid service trading (searching for the best combination of software and execution platform according to the user requirements) is thus a crucial issue. Trading relies on the description of available services and computers, on the current state of the grid, and on the user requirements. Given the large amount of services that may be deployed over a Grid, this description cannot be reduced to a simple service name. In this paper, a sophisticated service specification approach similar to algebraic data types is combined with a grid middleware. This leads to a transparent solution for users: they give a mathematical expression to be solved, and the appropriate grid services will be transparently located, composed and executed on their behalf.

Original languageEnglish
Title of host publicationHigh Performance Computing for Computational Science, VECPAR 2010 - 9th International Conference, Revised Selected Papers
Pages340-351
Number of pages12
DOIs
StatePublished - 2011
Externally publishedYes
Event9th International Conference on High Performance Computing for Computational Science, VECPAR 2010 - Berkeley, CA, United States
Duration: Jun 22 2010Jun 25 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6449 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on High Performance Computing for Computational Science, VECPAR 2010
Country/TerritoryUnited States
CityBerkeley, CA
Period06/22/1006/25/10

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