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Collaborative Computing: Networking, Applications, and Worksharing

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Cover of 'Collaborative Computing: Networking, Applications, and Worksharing'

Table of Contents

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    Book Overview
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    Chapter 1 Adaptive Multi-keyword Ranked Search Over Encrypted Cloud Data
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    Chapter 2 A Collaborated IPv6-Packets Matching Mechanism Base on Flow Label in OpenFlow
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    Chapter 3 Traveller: A Novel Tourism Platform for Students Based on Cloud Data
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    Chapter 4 Achieving Application-Level Utility Max-Min Fairness of Bandwidth Allocation in Datacenter Networks
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    Chapter 5 Cost-Effective Service Provisioning for Hybrid Cloud Applications
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    Chapter 6 On Rule Placement for Multi-path Routing in Software-Defined Networks
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    Chapter 7 Crowdstore: A Crowdsourcing Graph Database
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    Chapter 8 An ARM-Based Hadoop Performance Evaluation Platform: Design and Implementation
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    Chapter 9 Research on Service Organization Based on Decorator Pattern
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    Chapter 10 Personalized QoS Prediction of Cloud Services via Learning Neighborhood-Based Model
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    Chapter 11 Multi-core Accelerated Operational Transformation for Collaborative Editing
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    Chapter 12 NFV: Near Field Vibration Based Group Device Pairing
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    Chapter 13 A Novel Method for Chinese Named Entity Recognition Based on Character Vector
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    Chapter 14 Android Apps Security Evaluation System in the Cloud
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    Chapter 15 Protecting Privacy for Big Data in Body Sensor Networks: A Differential Privacy Approach
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    Chapter 16 Characterizing Interference in a Campus WiFi Network via Mobile Crowd Sensing
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    Chapter 17 On Participant Selection for Minimum Cost Participatory Urban Sensing with Guaranteed Quality of Information
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    Chapter 18 $$\lambda $$ -CoAP: An Internet of Things and Cloud Computing Integration Based on the Lambda Architecture and CoAP
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    Chapter 19 A Framework for Multiscale-, QoC- and Privacy-aware Context Dissemination in the Internet of Things
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    Chapter 20 SSG: Sensor Security Guard for Android Smartphones
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    Chapter 21 Fast Secure Scalar Product Protocol with (almost) Optimal Efficiency
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    Chapter 22 Efficient Secure Authenticated Key Exchange Without NAXOS’ Approach Based on Decision Linear Problem
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    Chapter 23 Towards Secure Distributed Hash Table
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    Chapter 24 An Anomaly Detection Model for Network Intrusions Using One-Class SVM and Scaling Strategy
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    Chapter 25 Layered Consistency Management for Advanced Collaborative Compound Document Authoring
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    Chapter 26 On Ambiguity Issues of Converting LaTeX Mathematical Formula to Content MathML
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    Chapter 27 LTMF: Local-Based Tag Integration Model for Recommendation
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    Chapter 28 A Privacy-Friendly Model for an Efficient and Effective Activity Scheduling Inside Dynamic Virtual Organizations
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    Chapter 29 A Discovery Method of Service Bottleneck for Distributed Service
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    Chapter 30 A Collaborative Rear-End Collision Warning Algorithm in Vehicular Ad Hoc Networks
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    Chapter 31 Analysis of Signaling Overhead and Performance Evaluation in Cellular Networks of WeChat Software
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    Chapter 32 Exploration of Applying Crowdsourcing in Geosciences: A Case Study of Qinghai-Tibetan Lake Extraction
Overall attention for this book and its chapters
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Citations

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Title
Collaborative Computing: Networking, Applications, and Worksharing
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-28910-6
ISBNs
978-3-31-928909-0, 978-3-31-928910-6
Editors

Song Guo, Xiaofei Liao, Fangming Liu, Yanmin Zhu

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 3%
United States 2 2%
Canada 2 2%
Portugal 1 1%
Unknown 88 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 27%
Student > Ph. D. Student 20 21%
Researcher 13 14%
Student > Bachelor 9 9%
Professor 5 5%
Other 11 11%
Unknown 12 13%
Readers by discipline Count As %
Computer Science 49 51%
Engineering 15 16%
Agricultural and Biological Sciences 3 3%
Business, Management and Accounting 3 3%
Mathematics 2 2%
Other 7 7%
Unknown 17 18%