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Computer Performance Evaluation. Modelling Techniques and Tools

Overview of attention for book
Cover of 'Computer Performance Evaluation. Modelling Techniques and Tools'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Multiscale Modeling and Simulation of Worm Effects on the Internet Routing Infrastructure
  3. Altmetric Badge
    Chapter 2 A Low-Cost Infrastructure for High Precision High Volume Performance Measurements of Web Clusters
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    Chapter 3 MIBA: A Micro-Benchmark Suite for Evaluating InfiniBand Architecture Implementations
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    Chapter 4 WebAppLoader : A Simulation Tool Set for Evaluating Web Application Performance
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    Chapter 5 A Comprehensive Toolset for Workload Characterization, Performance Modeling, and Online Control
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    Chapter 6 Logical and Stochastic Modeling with Smart
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    Chapter 7 The Peps Software Tool
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    Chapter 8 The Modest Modeling Tool and Its Implementation
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    Chapter 9 An M/G/1 Queuing System with Multiple Vacations to Assess the Performance of a Simplified Deficit Round Robin Model
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    Chapter 10 Queueing Models with Maxima of Service Times
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    Chapter 11 Heuristic Optimization of Scheduling and Allocation for Distributed Systems with Soft Deadlines
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    Chapter 12 Necessary and Sufficient Conditions for Representing General Distributions by Coxians
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    Chapter 13 A Closed-Form Solution for Mapping General Distributions to Minimal PH Distributions
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    Chapter 14 An EM-Algorithm for MAP Fitting from Real Traffic Data
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    Chapter 15 The Correlation Region of Second-Order MAPs with Application to Queueing Network Decomposition
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    Chapter 16 EvalVid – A Framework for Video Transmission and Quality Evaluation
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    Chapter 17 A Class-Based Least-Recently Used Caching Algorithm for World-Wide Web Proxies
  19. Altmetric Badge
    Chapter 18 Performance Analysis of a Software Design Using the UML Profile for Schedulability, Performance, and Time
Attention for Chapter 14: An EM-Algorithm for MAP Fitting from Real Traffic Data
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Mentioned by

wikipedia
2 Wikipedia pages

Citations

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7 Dimensions

Readers on

mendeley
12 Mendeley
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Chapter title
An EM-Algorithm for MAP Fitting from Real Traffic Data
Chapter number 14
Book title
Computer Performance Evaluation. Modelling Techniques and Tools
Published in
Lecture notes in computer science, September 2003
DOI 10.1007/978-3-540-45232-4_14
Book ISBNs
978-3-54-040814-7, 978-3-54-045232-4
Authors

Peter Buchholz

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 8%
United States 1 8%
Unknown 10 83%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 33%
Student > Bachelor 2 17%
Researcher 2 17%
Student > Ph. D. Student 1 8%
Student > Doctoral Student 1 8%
Other 2 17%
Readers by discipline Count As %
Engineering 5 42%
Computer Science 3 25%
Decision Sciences 1 8%
Medicine and Dentistry 1 8%
Social Sciences 1 8%
Other 0 0%
Unknown 1 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 December 2019.
All research outputs
#7,453,827
of 22,787,797 outputs
Outputs from Lecture notes in computer science
#2,486
of 8,126 outputs
Outputs of similar age
#17,058
of 50,002 outputs
Outputs of similar age from Lecture notes in computer science
#10
of 23 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 50,002 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.