Data streaming management and scheduling is required by many grid computing applications, especially when the volume of data to be processed is extremely high while available stor...
With current grid middleware, it is difficult to deploy distributed supercomputing applications that run concurrently on multiple resources. As current grid middleware systems ha...
Within the realms of workflow management and grid computing, scheduling of distributed services is a central issue. Most schedulers balance time and cost to fit within a client...
One of the guiding principles of the Grid is local (site) autonomy. Resource owners maintain control over their resources even when those resources are part of a larger Grid. In o...
Jun Feng, Lingling Cui, Glenn S. Wasson, Marty Hum...
This paper addresses the problem of scheduling concurrent jobs on clusters where application data is stored on the computing nodes. This setting, in which scheduling computations ...
Michael Isard, Vijayan Prabhakaran, Jon Currey, Ud...