↓ Skip to main content

Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance

Overview of attention for book
Cover of 'Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Availability in Large Networks: Global Characteristics from Local Unreliability Properties
  3. Altmetric Badge
    Chapter 2 Stochastic Analysis of a Finite Source Retrial Queue with Spares and Orbit Search
  4. Altmetric Badge
    Chapter 3 Bounds for Two-Terminal Network Reliability with Dependent Basic Events
  5. Altmetric Badge
    Chapter 4 Software Reliability Testing Covering Subsystem Interactions
  6. Altmetric Badge
    Chapter 5 Failure-Dependent Timing Analysis - A New Methodology for Probabilistic Worst-Case Execution Time Analysis
  7. Altmetric Badge
    Chapter 6 A Calculus for SLA Delay Properties
  8. Altmetric Badge
    Chapter 7 Verifying Worst Case Delays in Controller Area Network
  9. Altmetric Badge
    Chapter 8 Lifetime Improvement by Battery Scheduling
  10. Altmetric Badge
    Chapter 9 Weighted Probabilistic Equivalence Preserves ω -Regular Properties
  11. Altmetric Badge
    Chapter 10 Probabilistic CSP: Preserving the Laws via Restricted Schedulers
  12. Altmetric Badge
    Chapter 11 Heuristics for Probabilistic Timed Automata with Abstraction Refinement
  13. Altmetric Badge
    Chapter 12 Simulative and Analytical Evaluation for ASD-Based Embedded Software
  14. Altmetric Badge
    Chapter 13 Reducing Channel Zapping Delay in WiMAX-Based IPTV Systems
  15. Altmetric Badge
    Chapter 14 Performance Evaluation of 10GE NICs with SR-IOV Support: I/O Virtualization and Network Stack Optimizations
  16. Altmetric Badge
    Chapter 15 Business Driven BCM SLA Translation for Service Oriented Systems
  17. Altmetric Badge
    Chapter 16 Boosting Design Space Explorations with Existing or Automatically Learned Knowledge
  18. Altmetric Badge
    Chapter 17 IBPM: An Open-Source-Based Framework for InifiniBand Performance Monitoring
  19. Altmetric Badge
    Chapter 18 A Workbench for Internet Traffic Analysis
  20. Altmetric Badge
    Chapter 19 A Modelling and Analysis Environment for LARES
  21. Altmetric Badge
    Chapter 20 Simulation and Statistical Model Checking for Modestly Nondeterministic Models
  22. Altmetric Badge
    Chapter 21 UniLoG: A Unified Load Generation Tool
  23. Altmetric Badge
    Chapter 22 Non Preemptive Static Priority with Network Calculus: Enhancement
  24. Altmetric Badge
    Chapter 23 A Demand-Response Calculus with Perfect Batteries
  25. Altmetric Badge
    Chapter 24 A Formal Definition and a New Security Mechanism of Physical Unclonable Functions
  26. Altmetric Badge
    Chapter 25 Modeling and Analysis of a P2P-VoD System Based on Stochastic Network Calculus
  27. Altmetric Badge
    Chapter 26 Using NFC Phones for Proving Credentials
Attention for Chapter 16: Boosting Design Space Explorations with Existing or Automatically Learned Knowledge
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
12 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Boosting Design Space Explorations with Existing or Automatically Learned Knowledge
Chapter number 16
Book title
Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance
Published in
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-28540-0_16
Book ISBNs
978-3-64-228539-4, 978-3-64-228540-0
Authors

Ralf Jahr, Horia Calborean, Lucian Vintan, Theo Ungerer, Jahr, Ralf, Calborean, Horia, Vintan, Lucian, Ungerer, Theo

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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 %
United States 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 75%
Professor 1 8%
Researcher 1 8%
Student > Master 1 8%
Readers by discipline Count As %
Engineering 6 50%
Computer Science 4 33%
Unknown 2 17%
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 March 2012.
All research outputs
#12,541,186
of 22,663,969 outputs
Outputs from Lecture notes in computer science
#3,657
of 8,123 outputs
Outputs of similar age
#140,930
of 244,051 outputs
Outputs of similar age from Lecture notes in computer science
#183
of 490 outputs
Altmetric has tracked 22,663,969 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 8,123 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 54% 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 244,051 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 490 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 62% of its contemporaries.