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2 - Workload Data
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- Workload Modeling for Computer Systems Performance Evaluation
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- 23 March 2015, pp 22-72
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7 - Self-Similarity and Long-Range Dependence
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- 23 March 2015, pp 283-356
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5 - Heavy Tails
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- 23 March 2015, pp 163-212
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10 - Summary and Outlook
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- 23 March 2015, pp 490-494
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9 - Case Studies
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- 23 March 2015, pp 399-489
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PREFACE
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Frontmatter
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- 23 March 2015, pp i-iv
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4 - Fitting Distributions to Data
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- 23 March 2015, pp 130-162
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3 - Statistical Distributions
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- 23 March 2015, pp 73-129
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6 - Correlations in Workloads
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- 23 March 2015, pp 213-282
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Index
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- 23 March 2015, pp 541-551
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8 - Hierarchical Generative Models
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- 23 March 2015, pp 357-398
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Contents
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- 23 March 2015, pp vii-xii
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1 - Introduction
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- 23 March 2015, pp 1-21
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Bibliography
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- 23 March 2015, pp 501-540
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Dedication
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Appendix - Data Sources
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- 23 March 2015, pp 495-500
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![](https://assets.cambridge.org/97811070/78239/cover/9781107078239.jpg)
Workload Modeling for Computer Systems Performance Evaluation
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A run-time algorithm for managing the granularity of parallel functional programs1
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- Journal of Functional Programming / Volume 2 / Issue 4 / October 1992
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- 07 November 2008, pp. 387-405
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