Developing Data Grids has increasingly become a major concern to make Grids attractive for a wide range of data-intensive applications. Storage subsystems are most likely to be a ...
: As the Grid evolves from a high performance cluster middleware to a multipurpose utility computing framework, a good understanding of Grid applications, their statistics and util...
—Job monitoring in Grid systems presents an important challenge due to Grid environments are volatile, heterogeneous, not reliable and are managed by different middlewares and mo...
This paper attempts to reduce the overheads of dynamically creating and destroying the virtual environments for secure job execution. It broaches a grid architecture which we call...
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...