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Computer Performance Engineering

Overview of attention for book
Cover of 'Computer Performance Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Tagged Generalized Stochastic Petri Nets
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    Chapter 2 Modelling Zoned RAID Systems Using Fork-Join Queueing Simulation
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    Chapter 3 Performance of Auctions and Sealed Bids
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    Chapter 4 Applying Symbolic Techniques to the Representation of Non-Markovian Models with Continuous PH Distributions
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    Chapter 5 Mean Value Analysis for a Class of PEPA Models
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    Chapter 6 Automatic Generation of Performance Analysis Results: Requirements and Demonstration
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    Chapter 7 Analytical Model of Traffic Compression in the UMTS Network
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    Chapter 8 From DFTs to PEPA: A Model-to-Model Transformation
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    Chapter 9 Passage-End Analysis
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    Chapter 10 Stochastic Monotonicity in Queueing Networks
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    Chapter 11 Fast Generation of Scale Free Networks with Directed Arcs
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    Chapter 12 A More Realistic Peer-to-Peer Grid Market Model
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    Chapter 13 Migrating Auctioneers on Internet Auctions for Improved Utility and Performance
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    Chapter 14 Analytical Model of the Soft Handoff Mechanism in the UMTS Network
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    Chapter 15 Analytical Model of TCP NewReno through a CTMC
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    Chapter 16 Packet Loss Analysis of Load-Balancing Switch with ON/OFF Input Processes
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    Chapter 17 Approximate Analysis of a Round Robin Scheduling Scheme for Network Coding
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    Chapter 18 Analysis of Large Populations of Interacting Objects with Mean Field and Markovian Agents
Overall attention for this book and its chapters
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
4 Mendeley
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Title
Computer Performance Engineering
Published by
Lecture notes in computer science, January 2009
DOI 10.1007/978-3-642-02924-0
ISBNs
978-3-64-202923-3, 978-3-64-202924-0
Authors

Jeremy T. Bradley

Editors

Bradley, Jeremy T.

Mendeley readers

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 %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Unknown 3 75%
Readers by discipline Count As %
Computer Science 1 25%
Unknown 3 75%
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 25 October 2013.
All research outputs
#7,459,393
of 22,805,349 outputs
Outputs from Lecture notes in computer science
#2,487
of 8,126 outputs
Outputs of similar age
#48,869
of 169,222 outputs
Outputs of similar age from Lecture notes in computer science
#56
of 177 outputs
Altmetric has tracked 22,805,349 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 169,222 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 177 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.