The existence of good probabilistic models for the job arrival process and the delay components introduced at different stages of job processing in a Grid environment is important ...
A key challenge faced by large-scale, distributed applications in Grid environments is efficient, seamless data management. In particular, for applications that can benefit from a...
Jithendar Paladugula, Ming Zhao 0002, Renato J. O....
There is a rapidly growing set of applications, referred to as data driven applications, in which analysis of large amounts of data drives the next steps taken by the scientist, e...
—Grid computing is becoming more and more attractive for coordinating large-scale heterogeneous resource sharing and problem solving. Of particular interest for effective Grid co...
—For modern scientific applications such as astrophysics, astronomy, aerography, and biology, a large amount of storage space is required because of the large-scale datasets. Dat...