Workflow scheduling is one of the key issues in the management of workflow execution.
Scheduling is a process that maps and manages execution of inter-dependent tasks on …

In this paper we survey computational models for Grid scheduling problems and their
resolution using heuristic and meta-heuristic approaches. Scheduling problems are at the …

In this paper we present Genetic Algorithms (GAs) based schedulers for efficiently allocating
jobs to resources in a Grid system. Scheduling is a key problem in emergent computational …

Scheduling is one of the core steps to efficiently exploit the capabilities of emergent
computational systems such as grid. Grid environment is a dynamic, heterogeneous and …

Scheduling is one of the core steps to efficientlyexploit the capabilities of heterogeneous
distributedcomputing systems and is an NP-complete problem. Therefore using meta …

In this chapter, we review a few important concepts from Grid computing related to
scheduling problems and their resolution using heuristic and meta-heuristic approaches …

This paper represents a Particle Swarm Optimization (PSO) algorithm, for grid job
scheduling. PSO is a population-based search algorithm based on the simulation of the …

Grid computing is a form of distributed computing that co-ordinates and provides the facility
of resource sharing over various geographical locations. Resource scheduling in Grid …

Task scheduling and resource allocation are the key rationale behind the computational
grid. Distributed resource clusters usually work in different autonomous domains with their …

one of the open issues in grid computing is efficient job scheduling. Job scheduling is known
to be NP-complete, therefore the use of non-heuristics is the de facto approach in order to …