Computing in Communication Networks

From Theory to Practice
Erscheinungsjahr 2020
ISBN: 978-0-12-820488-7
Verlag: William Andrew Publishing

Buch, Englisch, 522 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 1070 g

Computing in Communication Networks: From Theory to Practice provides comprehensive details and practical implementation tactics on the novel concepts and enabling technologies at the core of the paradigm shift from store and forward (dumb) to compute and forward (intelligent) in future communication networks and systems. The book explains how to create virtualized large scale testbeds using well-established open source software, such as Mininet and Docker. It shows how and where to place disruptive techniques, such as machine learning, compressed sensing, or network coding in a newly built testbed. In addition, it presents a comprehensive overview of current standardization activities.

Specific chapters explore upcoming communication networks that support verticals in transportation, industry, construction, agriculture, health care and energy grids, underlying concepts, such as network slicing and mobile edge cloud, enabling technologies, such as SDN/NFV/ ICN, disruptive innovations, such as network coding, compressed sensing and machine learning, how to build a virtualized network infrastructure testbed on one's own computer, and more.

Zielgruppe

<p>University researchers, R&D industry engineers in mobile and wireless communications engineering and computer networks</p>

Autoren/Hrsg.

Granelli, Fabrizio

Seeling, Patrick

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Mobilfunk- und Drahtlosnetzwerke & Anwendungen

Inhaltsverzeichnis

PART 1 FUTURE COMMUNICATION NETWORKS AND SYSTEMS 1. On the need of computing in future communication networks 2. Standardization activities for future communication networks

PART 2 CONCEPTS 3. Network slicing 4. Mobile edge cloud 5. Content distribution

PART 3 ENABLING TECHNOLOGIES 6. Software-defined networks 7. Network function virtualization

PART 4 INNOVATION TRACK 8. Machine learning 9. Network coding 10. Compressed sensing

PART 5 BUILDING THE TESTBED 11. Mininet: An insant virtual network on your computer 12. Docker: Containerize your application 13. ComNetsEmu: A lightweight emulator

PART 6 EXAMPLES 14. Realizing network slicing 15. Realizing mobile edge clouds 16. Machine learning for routing 17. Machine learning for flow compression 18. Machine learning for congestion control 19. Machine learning for object detection 20. Network coding for transport 21. Network coding for storage 22. In-network compressed sensing 23. Security for mobile edge cloud

PART 7 EXTENSIONS 24. Connecting to the outer world 25. Integrating time-sensitive networking 26. Integrating software-defined radios

PART 8 TOOLS 27. Networking tools

Über Autor(innen)

Seeling, Patrick
Patrick Seeling is a Professor in the Department of Computer Science at Central Michigan University, USA. He received his diploma (Dipl.-Ing.) degree in Industrial Engineering and Management from the Technical University Berlin, Germany, in 2002 and his his Ph.D. in Electrical Engineering from Arizona State University (ASU), USA, in 2005. He was an Associated Faculty at ASU until 2008 and an Assistant Professor at the University of Wisconsin-Stevens Point until 2011. In 2011, he joined Central Michigan University as Assistant Professor, where he became a tenured Associate Professor in 2015 and a Full Professor in 2018.

Granelli, Fabrizio
Fabrizio Granelli is Associate Professor at the Dept. of Information Engineering and Computer Science (DISI) - University of Trento (Italy), IEEE ComSoc Director for Educational Services (2018-19) and Chair of Joint IEEE VTS/ComSoc Italian Chapter. He is Research Associate Professor at the University of New Mexico, NM, USA.
He received the M.Sc. and Ph.D. degrees from University of Genoa, Italy, in 1997 and 2001. He was visiting professor at the State University of Campinas (Brasil) and at the University of Tokyo (Japan), and IEEE ComSoc Distinguished Lecturer in 2012-15.
He is Associate Editor in Chief of IEEE Communications Surveys and Tutorials.