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ICS
2005
Tsinghua U.
13 years 10 months ago
What is worth learning from parallel workloads?: a user and session based analysis
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 ...
Julia Zilber, Ofer Amit, David Talby
ISPASS
2006
IEEE
13 years 10 months ago
Workload sanitation for performance evaluation
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...
Dror G. Feitelson, Dan Tsafrir
CCGRID
2007
IEEE
13 years 11 months ago
Performance Evaluation in Grid Computing: A Modeling and Prediction Perspective
Experimental performance studies on computer systems, including Grids, require deep understandings on their workload characteristics. The need arises from two important and closel...
Hui Li