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Cloud and Fog Computing in 5G Mobile Networks. Telecommunications - Product Image

Cloud and Fog Computing in 5G Mobile Networks. Telecommunications

  • ID: 3981628
  • Book
  • April 2017
  • IET Books
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Cloud computing is a key trend in computing and networking. Now diffused among end-users devices in mobile and wireline networks, the cloud is becoming the "fog". This book presents frameworks and schemes that use devices from end-users or near-users to carry out storage, communication, computation and control in the network. These novel approaches support the Internet of Things, the efficient provision of heterogeneous 5G mobile services, as well as emerging applications over future wireless network architectures. Elaborating on the emerging mobile networking paradigms for the 2020 5G timeframe, this book presents new connectivity services that are highly scalable and programmable in terms of speed, capacity, security, reliability, availability, latency and impact on battery life. Finally, the book discusses recent and new developments, prompting future directions on the theories, practices, standards and strategies related to 5G mobile systems.

Topics covered include: network storage, Internet of Things (IoT); heterogeneous 5G mobile services; 5G green mobile networks; cloudlet-based architectures in mobile cloud computing environments; software-defined networking (SDN) and network functions virtualization (NFV); FOG-enabled navigation system; FIWARE and IoT technologies; real time video distribution; hybrid resource sharing; energy efficiency in cognitive radio networks; edge computing in future 5G mobile networks; and virtual network functions over cloud infrastructures.

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- Chapter 1: NOMA schemes for 5G green mobile networks
- Chapter 2: Fog computing in 5G networks: an application perspective
- Chapter 3: The in-band full duplexing wireless exploiting self-interference cancellation techniques: algorithms, methods and emerging applications
- Chapter 4: Latency delay evaluation for cloudlet-based architectures in mobile cloud computing environments
- Chapter 5: Survey on software-defined networking and network functions virtualisation in 5G emerging mobile computing
- Chapter 6: Towards a FOG-enabled navigation system with advanced cross-layer management features and IoT equipment
- Chapter 7: Internet of Things: a systematic literature review
- Chapter 8: Internet of Everything: a survey on technologies, challenges, and applications
- Chapter 9: Combining FIWARE and IoT technologies for smart, small-scale farming: the case of QUHOMA platform architecture
- Chapter 10: Stable real-time video distribution by exploiting cloud and peer-to-peer interaction
- Chapter 11: Hybrid resource sharing for QoS preservation in virtual wireless networks
- Chapter 12: Energy efficiency gains through opportunistic cooperative schemes in cognitive radio networks
- Chapter 13: The role of edge computing in future 5G mobile networks: concept and challenges
- Chapter 14: A novel marketplace for trading/brokering virtual network functions over cloud infrastructures
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Evangelos Markakis Senior Research Associate.
Technological Educational Institute of Crete, Greece.

Dr. Evangelos Markakis is a Senior Research Associate at Technological Educational Institute of Crete in Greece.

George Mastorakis Associate Professor.
Technological Educational Institute of Crete, Greece.

Dr. George Mastorakis is an Associate Professor at the Technological Educational Institute of Crete in Greece.

Constandinos X. Mavromoustakis Professor.
University of Nicosia, Department of Computer Science, Cyprus.

Prof. Constandinos X. Mavromoustakis is a Professor at the Department of Computer Science at the University of Nicosia, Cyprus where he heads the Mobile Systems Laboratory.

Evangelos Pallis Associate Professor.
Technological Educational Institute of Crete, Informatics Engineering Department, Greece.

Dr. Evangelos Pallis is an Associate Professor at the Informatics Engineering department of the Technological Educational Institute of Crete, and the director of PASIPHAE laboratory, Greece.

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