Cloud computing is a dynamic and diverse environment across different geographical
locations. In reality, it consists of a vast number of tasks and computing resources. In cloud …

Grid computing is a technology that represents a kind of distributed computing. This
approach is mainly used in the context of resource utilization and sharing across …

The grid computational environment is very suit to meet the computational demands of large,
diverse groups of tasks. And the task scheduling problem in it has been a research hotspot …

The Scheduling of tasks on heterogeneous grid resources is known to be a NP-complete
problem; therefore, to get a near optimal solution within finite duration, heuristics …

Scheduling problem for user requests in cloud computing environment is NP-complete. This
problem is usually solved by using heuristic methods in order to reduce to polynomial …

The efficient scheduling of independent computational jobs in a heterogeneous computing
(HC) environment is an important problem in domains such as grid computing. Finding …

Grid is a manifold and highly dynamic scenario. One of the fundamental issues in this
environment is related to jobs scheduling; since jobs allocation to resources is a …

Scientists and engineers are more and more faced to the need of computational power to
satisfy the ever-increasing resource intensive nature of their experiments. An example of …

Grid computing links disparate computers having free resources to form a low cost
infrastructure. Grid computing can provide enormous opportunities for organizations to use …

The scheduling in grids is known to be a NP-hard problem. The distributed deployment of
nodes, their heterogeneity and their fluctuations in terms of workload and availability make …