On Application Behavior Extraction and Prediction to Support and Improve Process Scheduling Decisions
نویسندگان
چکیده
The knowledge of the application behavior allows predicting the application workload during its execution and forecasting distributed data accesses. In order to obtain such data, different strategies can be employed, varying from simple source code analysis, sequential access pattern extraction (Kotz & Ellis, 1993), history-based approaches (Gibbons, 1997; Smith, Foster & Taylor, 1998) and on-line behavior extraction methods (Senger, Mello, Santana, & Santana, 2005; Dodonov, Mello, & Yang, 2006). It is possible to define two different strategies for application behavior extraction. The first approach ABSTRACT
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