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Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...
The performance of computer systems depends, among other things, on the workload. Performance evaluations are therefore often done using logs of workloads on current productions s...
Experimental performance studies on computer systems, including Grids, require deep understandings on their workload characteristics. The need arises from two important and closel...