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Peter A. Dinda Online Prediction of the Running Time of Tasks
City University of New York, John Jay College of Criminal Justice, US has reference to this Academic Journal, Online Prediction of the Running Time of Tasks Peter A. Dinda Study of Host Load [Scientific Programming, 3:4, 1999] Digital Unix 5 second load average, 1 Hz 39 week-long traces taken at different times of the year Self-similarity, epochal behavior, correlation cs.northwestern /~pdinda/LoadTraces Host Load Playback [LCR 2000] Reconstruct workload using load trace cs.northwestern /~pdinda/LoadTraces/playload Study of Host Load Prediction [Cluster Computing, 3:4, 2000] Fully randomized study on traces MEAN, LAST, AR, MA, ARMA, ARIMA, ARFIMA models AR(16) models most appropriate RPS Toolkit [CMU-CS-99-138] Extensible toolkit in consideration of building resource prediction systems cs.northwestern /~pdinda/RPS.html Study of Prediction-based Best-effort Real-time scheduling in consideration of distributed interactive applications [In review] Full randomized over traces Reliable, introduces appropriate randomness RTSA library (to be released) Predict task running time from host load predictions in addition to nominal time (size) of task Currently compute-bound tasks Running time reported as a confidence interval (CI) CI computed using prediction error covariance matrix Load is ?discounted? so that deal alongside I/O priority boosts Study of such predictions (full paper in [HPDC 2001]) Metrics: Coverage in addition to Span Fully randomized over traces Accurate confidence intervals in most cases Appropriate coverage alongside small spans Running Time Advisor API Department of Computer Science Northwestern University firstname.lastname@example.org Requested confidence level Nominal time of task (size) Returned confidence level Nominal time of task (size) Expected running time Expected running time CI lower bound Expected running time CI upper bond Typical Performance
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Interdomain Routing Security
Runyan, Dave Managing Editor
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Journal Ratings by City University of New York, John Jay College of Criminal Justice
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