This work describes the Grid and cluster scheduling simulator Alea 2 designed for study,
testing and evaluation of various job scheduling techniques. This event-based simulator is …

Grids and peer-to-peer (P2P) networks have emerged as popular platforms for the next
generation parallel and distributed computing. In these environments, resources are …

Grid computing is growing rapidly in the distributed heterogeneous systems for utilizing and
sharing large-scale resources to solve complex scientific problems. Scheduling is the most …

Knowledge acquisition is a long-standing problem in fuzzy-rule-based systems. In spite of
the existence of several approaches, much effort is still required to increase the efficiency of …

Particle swarm optimization (PSO) is a bio-inspired optimization strategy founded on the
movement of particles within swarms. PSO can be encoded in a few lines in most …

Grid Computing is an evolution of parallel and distributed computing that enables sharing of
resources among the users of virtual organizations across the world. The core purpose …

This paper proposes a novel schedule-based approach for scheduling a continuous stream
of batch jobs on the machines of a computational Grid. Our new solutions represented by …

This work proposes the use of bio-inspired knowledge acquisition for Fuzzy Systems
founded on Swarm Intelligence-Particle Swarm Optimization (SI-PSO). Swarm-based …

Recent advancement in meta-heuristics grid scheduling studies have applied various
techniques such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Ant …

Virtual Organization Clusters (VOCs) are a novel mechanism for overlaying dedicated
private cluster systems on existing grid infrastructures. VOCs provide customized …