Big data has revolutionized science and technology leading to the transformation of our
societies. High-performance computing (HPC) provides the necessary computational power …

To maximize task scheduling performance and minimize nonreasonable task allocation in
clouds, this paper proposes a method based on a two-stage strategy. At the first stage, a job …

Abstract eScience is rapidly changing the way we do research. As a result, many research
labs now need non-trivial computational power. Grid and voluntary computing are well …

In the field of information and computer technology (ICT), saving energy has its focus set on
energy efficient hardware and its operation. Recently, efforts have also been made in the …

Hundreds of papers on job scheduling for distributed systems are published every year and
it becomes increasingly difficult to classify them. Our analysis revealed that half of these …

Large distributed systems challenge traditional schedulers, as it is often hard to determine a
priori how long each task will take to complete on each resource, information that is input for …

Over the past decade, the grid has emerged as an attractive platform to tackle various large-
scale problems, especially in science and engineering. One primary issue associated with …

Desktop Grids use the computing, network and storage resources from idle desktop PCs
distributed over multiple-LANs or the Internet to compute a large variety of resource …

Currently, most computational grids (systems allowing transparent sharing of computing
resources across organizational boundaries) are assembled using human negotiation. This …

Desktop Grids use the computing, network and storage resources from idle desktop PC's
distributed over multiple-LAN's or the Internet to compute a large variety of resource …