Managing the execution of scientific applications in a heterogeneous grid computing environment can be a daunting task, particularly for long running jobs. Increasing fault tolera...
These days an increasing number of applications, especially in science and engineering, are dealing with a massive amount of data; hence they are dataintensive. Bioinformatics, da...
Lightweight formal modeling and automatic analysis were used to explore the design of the Intentional Naming System (INS), a new scheme for resource discovery in a dynamic network...
The goal of this research is to develop performance profiles of parallel and distributed applications in order to predict their execution time under different network conditions....
Utility computing delivers compute and storage resources to applications as an `on-demand utility', much like electricity, from a distributed collection of computing resource...