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  • 356pp. Published December 2018
  • Scientific Research Publishing,Inc.,USA
  • Category: Computer Science & Communications
  • ISBN: 978-1-61896-633-9
  • (Hardcover) USD 109.00
  • ISBN: 978-1-61896-632-2
  • (Paperback) USD 89.00
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Home > Books > Advances in Mobile Edge Computing
Advances in Mobile Edge Computing
  • Description
  • Author(s) Information

Multi-access Edge Computing (MEC), formerly Mobile Edge Computing, is a network architecture concept that enables cloud computing capabilities and an IT service environment at the edge of the cellular network and, more in general at the edge of any network. The basic idea behind MEC is that by running applications and performing related processing tasks closer to the cellular customer, network congestion is reduced and applications perform better.


In the present book, fifteen typical literatures about mobile edge computing published on international authoritative journals were selected to introduce the worldwide newest progress, which contains reviews or original researches on network architecture, cell site, radio access network, distributed computing in the RAN, domain name system, etc. We hope this book can demonstrate advances in mobile edge computing as well as give references to the researchers, students and other related people.


Components of the Book:
  • Chapter 1
    Multi-access edge computing: open issues, challenges and future perspectives
  • Chapter 2
    Proactive edge computing in fog networks with latency and reliability guarantees
  • Chapter 3
    Adaptive Service Management in Mobile Cloud Computing by Means of Supervised and Reinforcement Learning
  • Chapter 4
    Autonomous Context-Based Service Optimization in Mobile Cloud Computing
  • Chapter 5
    Can cloudlet coordination support cloud computing infrastructure?
  • Chapter 6
    Deployment of smart home management system at the edge: mechanisms and protocols
  • Chapter 7
    Energy-efficient service-oriented architecture for mobile cloud handover
  • Chapter 8
    Intelligent route planning system based on interval computing
  • Chapter 9
    The convergence computing model for big sensor data mining and knowledge discovery
  • Chapter 10
    Analyzing the availability and performance of an e-health system integrated with edge, fog and cloud infrastructures
  • Chapter 11
    The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: a review and synthesis
  • Chapter 12
    Nearby live virtual machine migration using cloudlets and multipath TCP
Readership: Students, academics, teachers and other people attending or interested in mobile edge computing.
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