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Research Advances in Cloud Computing

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Cover of 'Research Advances in Cloud Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Serverless Computing: Current Trends and Open Problems
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    Chapter 2 Highly Available Clouds: System Modeling, Evaluations, and Open Challenges
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    Chapter 3 Big Data Analytics in Cloud—A Streaming Approach
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    Chapter 4 A Terminology to Classify Artifacts for Cloud Infrastructure
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    Chapter 5 Virtual Networking with Azure for Hybrid Cloud Computing in Aneka
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    Chapter 6 Building Efficient HPC Cloud with SR-IOV-Enabled InfiniBand: The MVAPICH2 Approach
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    Chapter 7 Resource Procurement, Allocation, Metering, and Pricing in Cloud Computing
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    Chapter 8 Dynamic Selection of Virtual Machines for Application Servers in Cloud Environments
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    Chapter 9 Improving the Energy Efficiency in Cloud Computing Data Centres Through Resource Allocation Techniques
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    Chapter 10 Recent Developments in Resource Management in Cloud Computing and Large Computing Clusters
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    Chapter 11 Resource Allocation for Cloud Infrastructures: Taxonomies and Research Challenges
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    Chapter 12 Many-Objective Optimization for Virtual Machine Placement in Cloud Computing
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    Chapter 13 Performance Modeling and Optimization of Live Migration of Virtual Machines in Cloud Infrastructure
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    Chapter 14 Analysis of Security in Modern Container Platforms
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    Chapter 15 Identifying Evidence for Cloud Forensic Analysis
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    Chapter 16 An Access Control Framework for Secure and Interoperable Cloud Computing Applied to the Healthcare Domain
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    Chapter 17 Security and Privacy Issues in Outsourced Personal Health Record
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    Chapter 18 Applications of Trusted Computing in Cloud Context
Attention for Chapter 1: Serverless Computing: Current Trends and Open Problems
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Chapter title
Serverless Computing: Current Trends and Open Problems
Chapter number 1
Book title
Research Advances in Cloud Computing
Published by
Springer, Singapore, January 2017
DOI 10.1007/978-981-10-5026-8_1
Book ISBNs
978-9-81-105025-1, 978-9-81-105026-8
Authors

Ioana Baldini, Paul Castro, Kerry Chang, Perry Cheng, Stephen Fink, Vatche Ishakian, Nick Mitchell, Vinod Muthusamy, Rodric Rabbah, Aleksander Slominski, Philippe Suter

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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 453 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 453 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 102 23%
Student > Ph. D. Student 57 13%
Student > Bachelor 51 11%
Researcher 22 5%
Student > Doctoral Student 11 2%
Other 47 10%
Unknown 163 36%
Readers by discipline Count As %
Computer Science 237 52%
Engineering 29 6%
Business, Management and Accounting 6 1%
Veterinary Science and Veterinary Medicine 2 <1%
Environmental Science 2 <1%
Other 8 2%
Unknown 169 37%