Handbook of Research on End-to-End Cloud Computing Architecture Design

Handbook of Research on End-to-End Cloud Computing Architecture Design

Jianwen “Wendy” Chen (IBM, Australia), Yan Zhang (Western Sydney University, Australia) and Ron Gottschalk (IBM, Australia)
Indexed In: SCOPUS View 1 More Indices
Release Date: October, 2016|Copyright: © 2017 |Pages: 507
ISBN13: 9781522507598|ISBN10: 1522507590|EISBN13: 9781522507604|DOI: 10.4018/978-1-5225-0759-8


Cloud computing has become integrated into all sectors, from business to quotidian life. Since it has revolutionized modern computing, there is a need for updated research related to the architecture and frameworks necessary to maintain its efficiency.

The Handbook of Research on End-to-End Cloud Computing Architecture Design provides architectural design and implementation studies on cloud computing from an end-to-end approach, including the latest industrial works and extensive research studies of cloud computing. This handbook enumerates deep dive and systemic studies of cloud computing from architecture to implementation. This book is a comprehensive publication ideal for programmers, IT professionals, students, researchers, and engineers.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Architectural Patterns
  • Cloud Service Broker
  • Data encryption
  • Data Storage Security
  • DDOS Detection
  • Enterprise Mobility
  • Internet of Things
  • Resource Management Techniques
  • Service Cloud
  • Service Management

Reviews and Testimonials

Researchers from universities and corporations describe major aspects of end-to-end architectural design and implementation of cloud computing. Among their topics are enterprise mobility reference architecture: mobility services overview, virtual machine placement in infrastructure-as-a-service cloud, cloud computing data storage security based on different encryption schemes, the design and implementation of service management in DevOps enabled cloud computing models, and a survey and taxonomy of energy-efficient resource management techniques in platform-as-a-service cloud.

– Protoview Reviews

Table of Contents and List of Contributors

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