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Distributed Applications and Interoperable Systems

Overview of attention for book
Cover of 'Distributed Applications and Interoperable Systems'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Fluidify: Decentralized Overlay Deployment in a Multi-cloud World
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    Chapter 2 MERCi-MIsS: Should I Turn off My Servers?
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    Chapter 3 Fully Distributed Privacy Preserving Mini-batch Gradient Descent Learning
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    Chapter 4 Incentivising Resource Sharing in Federated Clouds
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    Chapter 5 Similitude: Decentralised Adaptation in Large-Scale P2P Recommenders
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    Chapter 6 Concise Server-Wide Causality Management for Eventually Consistent Data Stores
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    Chapter 7 X-Ray: Monitoring and Analysis of Distributed Database Queries
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    Chapter 8 Dynamic Message Processing and Transactional Memory in the Actor Model
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    Chapter 9 Heterogeneous Resource Selection for Arbitrary HPC Applications in the Cloud
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    Chapter 10 Practical Evaluation of Large Scale Applications
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    Chapter 11 Cheap and Cheerful: Trading Speed and Quality for Scalable Social-Recommenders
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    Chapter 12 Replication of Recovery Log — An Approach to Enhance SOA Reliability
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    Chapter 13 Leader Election Using NewSQL Database Systems
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    Chapter 14 Distributed Monitoring and Management of Exascale Systems in the Argo Project
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    Chapter 15 The Impact of Consistency on System Latency in Fault Tolerant Internet Computing
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    Chapter 16 A CRDT Supporting Selective Undo for Collaborative Text Editing
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    Chapter 17 LiveCloudInspector: Towards Integrated IaaS Forensics in the Cloud
Attention for Chapter 13: Leader Election Using NewSQL Database Systems
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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4 X users

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11 Mendeley
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Chapter title
Leader Election Using NewSQL Database Systems
Chapter number 13
Book title
Distributed Applications and Interoperable Systems
Published in
Lecture notes in computer science, June 2015
DOI 10.1007/978-3-319-19129-4_13
Book ISBNs
978-3-31-919128-7, 978-3-31-919129-4
Authors

Salman Niazi, Mahmoud Ismail, Gautier Berthou, Jim Dowling, Niazi, Salman, Ismail, Mahmoud, Berthou, Gautier, Dowling, Jim

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 9%
South Africa 1 9%
Unknown 9 82%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 36%
Student > Ph. D. Student 3 27%
Student > Bachelor 1 9%
Researcher 1 9%
Student > Postgraduate 1 9%
Other 0 0%
Unknown 1 9%
Readers by discipline Count As %
Computer Science 7 64%
Engineering 3 27%
Unknown 1 9%
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 23 December 2020.
All research outputs
#12,628,420
of 22,844,985 outputs
Outputs from Lecture notes in computer science
#3,658
of 8,126 outputs
Outputs of similar age
#115,304
of 267,747 outputs
Outputs of similar age from Lecture notes in computer science
#49
of 220 outputs
Altmetric has tracked 22,844,985 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 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 267,747 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 220 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.