Workload Modeling for Computer Systems Performance Evaluation - Info and Reading Options
By Dror G. Feitelson
"Workload Modeling for Computer Systems Performance Evaluation" was published by Cambridge University Press in 2015 - New York, NY, USA, it has 564 pages and the language of the book is English.
“Workload Modeling for Computer Systems Performance Evaluation” Metadata:
- Title: ➤ Workload Modeling for Computer Systems Performance Evaluation
- Author: Dror G. Feitelson
- Language: English
- Number of Pages: 564
- Publisher: Cambridge University Press
- Publish Date: 2015
- Publish Location: New York, NY, USA
“Workload Modeling for Computer Systems Performance Evaluation” Subjects and Themes:
- Subjects: ➤ Electronic digital computers - Evaluation - Workload - Mathematical models - COMPUTERS / General - Workload Mathematical models
Edition Identifiers:
- The Open Library ID: OL28542186M - OL21086044W
- Library of Congress Control Number (LCCN): 2014023640
- ISBN-13: 9781107078239
- All ISBNs: 9781107078239
AI-generated Review of “Workload Modeling for Computer Systems Performance Evaluation”:
"Workload Modeling for Computer Systems Performance Evaluation" Description:
Open Data:
"Reliable performance evaluations require the use of representative workloads. This is no easy task since modern computer systems and their workloads are complex, with many interrelated attributes and complicated structures. Experts often use sophisticated mathematics to analyze and describe workload models, making these models difficult for practitioners to grasp. This book aims to close this gap by emphasizing the intuition and the reasoning behind the definitions and derivations related to the workload models. It provides numerous examples from real production systems, with hundreds of graphs. Using this book, readers will be able to analyze collected workload data and clean it if necessary, derive statistical models that include skewed marginal distributions and correlations, and consider the need for generative models and feedback from the system. The descriptive statistics techniques covered are also useful for other domains"--
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