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Edge Computing – EDGE 2018

Overview of attention for book
Cover of 'Edge Computing – EDGE 2018'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Home Edge Computing (HEC): Design of a New Edge Computing Technology for Achieving Ultra-Low Latency
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    Chapter 2 Modular Framework for Data Prefetching and Replacement at the Edge
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    Chapter 3 Boundless Application and Resource Based on Container Technology
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    Chapter 4 A Reconfigurable Streaming Processor for Real-Time Low-Power Execution of Convolutional Neural Networks at the Edge
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    Chapter 5 Efficient Bare Metal Auto-scaling for NFV in Edge Computing
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    Chapter 6 Mobile Edge Offloading Using Markov Decision Processes
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    Chapter 7 A Face Recognition System Based on Cloud Computing and AI Edge for IOT
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    Chapter 8 A Robust Retail POS System Based on Blockchain and Edge Computing
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    Chapter 9 A Privacy Risk Aware Service Selection Approach for Service Composition
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    Chapter 10 A Chinese Text Correction and Intention Identification Method for Speech Interactive Context
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    Chapter 11 FCN-biLSTM Based VAT Invoice Recognition and Processing
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    Chapter 12 Research on Cross-Chain Technology Based on Sidechain and Hash-Locking
Attention for Chapter 5: Efficient Bare Metal Auto-scaling for NFV in Edge Computing
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Citations

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Readers on

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8 Mendeley
Summary Dimensions citations
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Chapter title
Efficient Bare Metal Auto-scaling for NFV in Edge Computing
Chapter number 5
Book title
Edge Computing – EDGE 2018
Published by
Springer, Cham, June 2018
DOI 10.1007/978-3-319-94340-4_5
Book ISBNs
978-3-31-994339-8, 978-3-31-994340-4
Authors

Xudong Pang, Jing Wang, Jingyu Wang, Qi Qi, Jie Xu, Zhenguang Yu, Pang, Xudong, Wang, Jing, Wang, Jingyu, Qi, Qi, Xu, Jie, Yu, Zhenguang

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 25%
Student > Ph. D. Student 2 25%
Student > Doctoral Student 1 13%
Student > Bachelor 1 13%
Unknown 2 25%
Readers by discipline Count As %
Computer Science 6 75%
Engineering 1 13%
Unknown 1 13%

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