Towards an intelligent grid scheduling system

Authors:
Ralf Gruber;Vincent Keller;Pierre Kuonen;Marie-Christine Sawley;Basile Schaeli;Ali Tolou;Marc Torruella;Trach-Minh Tran
Affiliations:
LIN-STI, EPFL, Lausanne, Switzerland;LIN-STI, EPFL, Lausanne, Switzerland;Ecole d'Ingénieurs et d'Architectes, Fribourg, Switzerland;CSCS, Manno, Switzerland;LSP-I&C, EPFL, Lausanne, Switzerland;LIN-STI, EPFL, Lausanne, Switzerland;Universitat Politecnica Catalunya, Barcelona, Espana;CRPP, EPFL, Lausanne, Switzerland
Venue:
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
Year:
2005

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Abstract

The main objective of the Intelligent GRID Scheduling System (ISS) project is to provide a middleware infrastructure allowing a good positioning and scheduling of real life applications in a computational GRID. According to data collected on the machines in the GRID, on the behaviour of the applications, and on the performance requirements demanded by the user, a heuristic cost function is evaluated by means of which a well suited computational resource is detected and allocated to execute his application. The monitoring information collected during execution is put into a database and reused for the next resource allocation decision. In addition to providing scheduling information, the collected data allows to detect overloaded resources and to pin-point inefficient applications that could be further optimised.