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Performance Evaluation and Benchmarking

Overview of attention for book
Cover of 'Performance Evaluation and Benchmarking'

Table of Contents

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    Book Overview
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    Chapter 1 Transaction Processing Performance Council (TPC): Twenty Years Later – A Look Back, a Look Ahead
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    Chapter 2 A New Direction for TPC?
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    Chapter 3 The Art of Building a Good Benchmark
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    Chapter 4 Database Are Not Toasters: A Framework for Comparing Data Warehouse Appliances
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    Chapter 5 The State of Energy and Performance Benchmarking for Enterprise Servers
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    Chapter 6 From Performance to Dependability Benchmarking: A Mandatory Path
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    Chapter 7 Overview of TPC Benchmark E: The Next Generation of OLTP Benchmarks
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    Chapter 8 Converting TPC-H Query Templates to Use DSQGEN for Easy Extensibility
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    Chapter 9 Generating Shifting Workloads to Benchmark Adaptability in Relational Database Systems
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    Chapter 10 Measuring Database Performance in Online Services: A Trace-Based Approach
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    Chapter 11 Issues in Benchmark Metric Selection
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    Chapter 12 Benchmarking Query Execution Robustness
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    Chapter 13 Benchmarking Database Performance in a Virtual Environment
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    Chapter 14 Principles for an ETL Benchmark
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    Chapter 15 Benchmarking ETL Workflows
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    Chapter 16 A Performance Study of Event Processing Systems
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    Chapter 17 The Star Schema Benchmark and Augmented Fact Table Indexing
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    Chapter 18 An Approach of Performance Evaluation in Authentic Database Applications
Overall attention for this book and its chapters
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4 Mendeley
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Performance Evaluation and Benchmarking
Published by
ADS, January 2009
DOI 10.1007/978-3-642-10424-4
978-3-64-210423-7, 978-3-64-210424-4

Raghunath Nambiar, Meikel Poess

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 50%
Germany 1 25%
Indonesia 1 25%
Croatia 1 25%
France 1 25%
Bulgaria 1 25%
Netherlands 1 25%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 400%
Student > Ph. D. Student 10 250%
Researcher 7 175%
Student > Doctoral Student 6 150%
Student > Bachelor 5 125%
Other 9 225%
Readers by discipline Count As %
Computer Science 34 850%
Engineering 8 200%
Social Sciences 4 100%
Unspecified 3 75%
Agricultural and Biological Sciences 1 25%
Other 3 75%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 November 2014.
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