It is important to identify scalability constraints in existing job scheduling software as they are applied to next generation parallel systems. In this paper, we analyze the scala...
Norman Bobroff, Richard Coppinger, Liana Fong, See...
Parallel dataflow programming frameworks such as Map-Reduce are increasingly being used for large scale data analysis on computing clouds. It is therefore becoming important to 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...
In this paper, we present an ant system algorithm variant designed to solve the job shop scheduling problem. The proposed approach is based on a recent biological study which showe...
Abstract. The workshop on job scheduling strategies for parallel processing (JSSPP) studies the myriad aspects of managing resources on parallel and distributed computers. These st...