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.
['R. Gruber', 'Vincent Keller', 'Pierre Kuonen', 'M.-C. Sawley', 'Basile Schaeli', 'Ali Tolou', 'Marc Torruella', 'Trach-Minh Tran']
Towards an intelligent grid scheduling system