Resampling with Feedback: A New Paradigm of Using Workload Data for Performance Evaluation-Reference-Cited by-同舟云学术

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Resampling with Feedback: A New Paradigm of Using Workload Data for Performance Evaluation

Published:2021 Issue: Volume: Page:3-32
ISSN:0302-9743
Container-title:Job Scheduling Strategies for Parallel Processing
language:
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Author:

Feitelson Dror G.^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-88224-2_1

Reference52 articles.

1. Lecture Notes in Computer Science;SJ Chapin,1999

2. Cirne, W., Berman, F.: A comprehensive model of the supercomputer workload. In: 4th Workshop on Workload Characterization, pp. 140–148 (2001). https://doi.org/10.1109/WWC.2001.990753

3. Denning, P.J.: Performance analysis: experimental computer science at its best. Comm. ACM 24(11), 725–727 (1981). https://doi.org/10.1145/358790.358791

4. Downey, A.B.: A parallel workload model and its implications for processor allocation. Cluster Comput. 1(1), 133–145 (1998). https://doi.org/10.1023/A:1019077214124

5. Downey, A.B., Feitelson, D.G.: The elusive goal of workload characterization. Perform. Eval. Rev. 26(4), 14–29 (1999). https://doi.org/10.1145/309746.309750

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