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Information and Communication on Technology for the Fight against Global Warming

Overview of attention for book
Cover of 'Information and Communication on Technology for the Fight against Global Warming'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Towards Energy Efficient Parallel Computing on Consumer Electronic Devices
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    Chapter 2 Characterizing Applications from Power Consumption: A Case Study for HPC Benchmarks
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    Chapter 3 Principles of Energy Efficiency in High Performance Computing
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    Chapter 4 Geocast Routing in Vehicular Networks for Reduction of CO 2 Emissions
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    Chapter 5 Limiting Pollution in Ground Control Optimization
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    Chapter 6 A Simulation Environment for Smart Charging of Electric Vehicles Using a Multi-objective Evolutionary Algorithm
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    Chapter 7 Furthering the Growth of Cloud Computing by Providing Privacy as a Service
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    Chapter 8 The Concept of a Mobile Cloud Computing to Reduce Energy Cost of Smartphones and ICT Systems
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    Chapter 9 A Model for Sequence Based Power Management in Cyber Physical Systems
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    Chapter 10 A System for Energy Savings in an Ambient Intelligence Environment
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    Chapter 11 Profiling Power Consumption on Desktop Computer Systems
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    Chapter 12 GAINS – An Interactive Tool for Assessing International GHG Mitigation Regimes
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    Chapter 13 Role of Context-Awareness for Demand Response Mechanisms
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    Chapter 14 An Architecture and Methodology for a Four-Phased Approach to Green Business Process Reengineering
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    Chapter 15 ADSC: Application-Driven Storage Control for Energy Efficiency
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    Chapter 16 Utilization-Aware Redirection Policy in CDN: A Case for Energy Conservation
Attention for Chapter 16: Utilization-Aware Redirection Policy in CDN: A Case for Energy Conservation
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Chapter title
Utilization-Aware Redirection Policy in CDN: A Case for Energy Conservation
Chapter number 16
Book title
Information and Communication on Technology for the Fight against Global Warming
Published in
Lecture notes in computer science, August 2011
DOI 10.1007/978-3-642-23447-7_16
Book ISBNs
978-3-64-223446-0, 978-3-64-223447-7
Authors

Saif ul Islam, Konstantinos Stamos, Jean-Marc Pierson, Athena Vakali

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 %
Student > Bachelor 2 50%
Professor 1 25%
Researcher 1 25%
Readers by discipline Count As %
Computer Science 4 100%
Attention Score in Context

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 March 2013.
All research outputs
#20,185,720
of 22,701,287 outputs
Outputs from Lecture notes in computer science
#6,983
of 8,125 outputs
Outputs of similar age
#114,079
of 124,356 outputs
Outputs of similar age from Lecture notes in computer science
#52
of 64 outputs
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So far Altmetric has tracked 8,125 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 124,356 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.