Grid computing is becoming the natural way to aggregate and share large and heterogeneous sets of resources. However, grid development and acceptance hinge on proving that grids r...
s In grid computing, the goals of task scheduling is to achieve high system optimization performance while matching multi-dimension Quiality of Service(QoS) requirement of applicat...
In this paper, an adaptive matrix multiplication algorithm for dynamic heterogeneous environments is developed and evaluated. Unlike the state-of-the-art approaches, where load ba...
In a computational grid environment, a common practice is try to allocate an entire parallel job onto a single participating site. Sometimes a parallel job, upon its submission, ca...
Computational Grids potentially offer cheap large-scale high-performance systems, but are a very challenging architecture, being heterogeneous, shared and hierarchical. Rather tha...
Abdallah Al Zain, Philip W. Trinder, Hans-Wolfgang...