Computing in Communication Networks

Frank H. P. Fitzek is a Professor and head of the “Deutsche Telekom Chair of Communication Networks” at TU Dresden coordinating the 5G Lab Germany. He is the spokesman of the DFG Cluster of Excellence “Center for Tactile Internet” (CeTI). He received his diploma (Dipl.-Ing.) degree in electrical engineering from the University of Technology – Rheinisch-Westfälische Technische Hochschule (RWTH) – Aachen, Germany, in 1997 and his Ph.D. (Dr.-Ing.) in Electrical Engineering from the Technical University Berlin, Germany in 2002 and became Adjunct Professor at the University of Ferrara, Italy in the same year. In 2003 he joined Aalborg University as Professor. 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. 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.

• PART 1 FUTURE COMMUNICATION NETWORKS AND SYSTEMS1. On the need of computing in future communication networks2. Standardization activities for future communication networksPART 2 CONCEPTS3. Network slicing4. Mobile edge cloud5. Content distributionPART 3 ENABLING TECHNOLOGIES6. Software-defined networks7. Network function virtualizationPART 4 INNOVATION TRACK8. Machine learning9. Network coding10. Compressed sensingPART 5 BUILDING THE TESTBED11. Mininet: An insant virtual network on your computer12. Docker: Containerize your application13. ComNetsEmu: A lightweight emulatorPART 6 EXAMPLES14. Realizing network slicing15. Realizing mobile edge clouds16. Machine learning for routing17. Machine learning for flow compression18. Machine learning for congestion control19. Machine learning for object detection20. Network coding for transport21. Network coding for storage22. In-network compressed sensing23. Security for mobile edge cloudPART 7 EXTENSIONS24. Connecting to the outer world25. Integrating time-sensitive networking26. Integrating software-defined radiosPART 8 TOOLS27. Networking tools