Knowledge discovery for scheduling in computational grids

Job Scheduling for Computational Grids

Grid computing is a method to execute computational jobs requiring a significant amount of computing resources and/or large sets of data. Contrary to large heterogeneous distributed systems, a Computational Grid has many independent resource providers with different access policies. In addition to the size of such a Grid, the diversity of those policies leads to a very complex allocation task t...

A probabilistic scheduling heuristic for computational grids

1 A Probabilistic Scheduling Heuristic for Computational Grids Youcef Derbal School of Information Technology Management Ryerson University 350 Victoria Street, Toronto, ON, Canada M5B 2K3 Tel: 1(416) 979-5000 x7918 E-mail: [email protected] Abstract Computational grids are large scale distributed networks of peer clusters of computing resources bounded by a decentralized management framework ...

Using Grids for Distributed Knowledge Discovery

A Compendium of Heuristic Methods for Scheduling in Computational Grids

Scheduling in large scale distributed computing environments such as Computational Grids, is currently receiving a considerable attention of researchers. Despite that scheduling in such systems has much in common with scheduling in traditional distributing systems, the new characteristics of Grid systems make the problem more complex and versatile to match different needs of Grid-enabled applic...

A GA(TS) Hybrid Algorithm for Scheduling in Computational Grids

The hybridization of heuristics methods aims at exploring the synergies among stand alone heuristics in order to achieve better results for the optimization problem under study. In this paper we present a hybridization of Genetic Algorithms (GAs) and Tabu Search (TS) for scheduling in computational grids. The purpose in hybridizing these heuristics is to benefit the exploration of the solution ...