In Grids scheduling decisions are often made on the basis of jobs being either data or computation intensive: in data intensive situations jobs may be pushed to the data and in co...
Richard McClatchey, Ashiq Anjum, Heinz Stockinger,...
— The execution of data intensive grid applications still raises several questions regarding job scheduling, data migration and replication. The optimization techniques applied b...
Abstract Computational Grids consist of a multitude of geographically distributed resources. The co-allocation of several of those resources allows for the execution of highly comp...
Bruno Volckaert, Pieter Thysebaert, Marc De Leenhe...
We present a methodology to automatically generate an online job scheduling method for a custom-made objective and real workloads. The scheduling problem comprises independent para...
Carsten Franke, Joachim Lepping, Uwe Schwiegelshoh...
One of the first motivations of using grids comes from applications managing large data sets in field such as high energy physics or life sciences. To improve the global throughput...