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Performance Evaluation: Metrics, Models and Benchmarks

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Cover of 'Performance Evaluation: Metrics, Models and Benchmarks'

Table of Contents

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    Book Overview
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    Chapter 1 Scheduling for Server Farms: Approaches and Open Problems
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    Chapter 2 SAP Standard Application Benchmarks - IT Benchmarks with a Business Focus
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    Chapter 3 The Relationship of Performance Models to Data
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    Chapter 4 Extracting Response Times from Fluid Analysis of Performance Models
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    Chapter 5 Approximate Solution of a PEPA Model of a Key Distribution Centre
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    Chapter 6 A Model Transformation from the Palladio Component Model to Layered Queueing Networks
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    Chapter 7 Model-Driven Generation of Performance Prototypes
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    Chapter 8 SCALASCA Parallel Performance Analyses of SPEC MPI2007 Applications
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    Chapter 9 Generating Probabilistic and Intensity-Varying Workload for Web-Based Software Systems
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    Chapter 10 Comparison of the SPEC CPU Benchmarks with 499 Other Workloads Using Hardware Counters
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    Chapter 11 Tuning Topology Generators Using Spectral Distributions
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    Chapter 12 Performance, Benchmarking and Sizing in Developing Highly Scalable Enterprise Software
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    Chapter 13 Phase-Type Approximations for Message Transmission Times in Web Services Reliable Messaging
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    Chapter 14 A Framework for Simulation Models of Service-Oriented Architectures
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    Chapter 15 Model-Driven Performability Analysis of Composite Web Services
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    Chapter 16 Dynamic Server Allocation for Power and Performance
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    Chapter 17 Workload Characterization of the SPECpower_ssj2008 Benchmark
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    Chapter 18 Trace-Context Sensitive Performance Profiling for Enterprise Software Applications
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    Chapter 19 Performance Monitoring and Analysis of a Large Online Transaction Processing System
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    Chapter 20 Speeding up STL Set/Map Usage in C++ Applications
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Citations

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15 Mendeley
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Title
Performance Evaluation: Metrics, Models and Benchmarks
Published by
Springer Berlin Heidelberg, June 2008
DOI 10.1007/978-3-540-69814-2
ISBNs
978-3-54-069813-5, 978-3-54-069814-2
Editors

Kounev, Samuel, Gorton, Ian, Sachs, Kai, Kounev, Samuel, Gorton, Ian, Sachs, Kai

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 7%
Brazil 1 7%
Unknown 13 87%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 33%
Student > Master 4 27%
Student > Ph. D. Student 3 20%
Lecturer 1 7%
Professor 1 7%
Other 1 7%
Readers by discipline Count As %
Computer Science 12 80%
Economics, Econometrics and Finance 1 7%
Social Sciences 1 7%
Engineering 1 7%