We present a new class of randomized approximation algorithms for unrelated parallel machine scheduling problems with the average weighted completion time objective. The key idea i...
While standard parallel machine scheduling is concerned with good assignments of jobs to machines, we aim to understand how the quality of an assignment is affected if the jobs...
This paper addresses nonclairvoyant and nonpreemptive online job scheduling in Grids. In the applied basic model, the Grid system consists of a large number of identical processor...
Uwe Schwiegelshohn, Andrei Tchernykh, Ramin Yahyap...
—The emergence of multi-core computers has led to explosive development of parallel applications and hence the need of efficient schedulers for parallel jobs. Adaptive online sc...
This paper studies parallel job scheduling in a distributed system. A simulation model is used to address performance issues associated with scheduling. Five policies are used to ...