Distributed computations, dealing with large amounts of data, are scheduled in Grid clusters today using either a task-centric mechanism, or a worker-centric mechanism. Because of ...
-- One of the benefits of a computational grid is the ability to run high-performance applications over distributed resources simply and securely. We demonstrated this benefit with...
Anand Natrajan, Michael Crowley, Nancy Wilkins-Die...
Abstract. As grid sizes increase, the need for self-organization and dynamic reconfigurations is becoming more and more important, and therefore the convergence of grid computing ...
The goal of the work described in this paper is to design and build a scalable infrastructure for executing grid applications on a widely distributed set of resources. Such grid i...
Jik-Soo Kim, Beomseok Nam, Michael A. Marsh, Peter...
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...