The paper begins by considering what a Grid Computing Environment might be, why it is demanded, and how the authors’ HPspmd programming fits into this picture. We then review o...
Han-Ku Lee, Bryan Carpenter, Geoffrey Fox, Sang Bo...
A computational grid is a large-scale distributed computing environment capable of providing dependable, consistent, pervasive, and inexpensive access to high-end computational re...
In a Grid Computing environment, there are various important issues, including information security, resource management, routing, fault tolerance, and so on. Among these issues, ...
In this paper, we propose a novel resource scheduling strategy, referred to as the Multi-Resource Scheduling (MRS) algorithm, which is capable of handling several resources to be u...
Benjamin Khoo Boon Tat, Bharadwaj Veeravalli, Tere...
Resource management is an important infrastructure in the grid computing environment. Scalability and adaptability are two key challenges in the implementation of such complex sof...
This paper addresses the potential benefit of sharing jobs between independent sites in a grid computing environment. Also the aspect of parallel multi-site job execution on diff...
Abstract. The Grid Modeling and Simulation (GridSim) toolkit provides a comprehensive facility for simulation of application scheduling in different Grid computing environments. H...
— The efforts to construct a national scale Grid computing environment have brought unprecedented computing capacity and complicacy. Exploiting this complex infrastructure requir...
The University of California, Berkeley and the University of Liverpool are developing a Information Retrieval and Digital Library system (Cheshire3) that operates in both singlepr...
In a grid computing environment, resources are autonomous, wide-area distributed, and what’s more, they are usually not free. These unique characteristics make scheduling in a s...