Towards an Intelligent Grid Scheduling System

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.

• Type: Conference
• Year: 2005
• Where: PPAM
• Authors: Ralf Gruber, Vincent Keller, Pierre Kuonen, Marie-Christine Sawley, Basile Schaeli, Ali Tolou, Marc Torruella, Trach-Minh Tran
• Keywords: Computational Grid, Heuristic Cost Function, Intelligent GRID Scheduling, PPAM 2005