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Future Internet and Smart City with Software Defined Networking

Module name (EN):
Name of module in study programme. It should be precise and clear.
Future Internet and Smart City with Software Defined Networking
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Mechatronics and Sensor Technology, Bachelor, ASPO 01.10.2012
Module code: MST.FSC
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
4V (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
Semester: 5
Mandatory course: no
Language of instruction:
Written exam

[updated 26.04.2021]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

E2543 (P221-0064) Electrical Engineering and Information Technology, Bachelor, ASPO 01.10.2018 , semester 5, optional course, technical, course inactive since 14.09.2020
KIB-FISC (P221-0064) Computer Science and Communication Systems, Bachelor, ASPO 01.10.2021 , semester 5, optional course, technical
KIB-FISC (P221-0064) Computer Science and Communication Systems, Bachelor, ASPO 01.10.2022 , semester 5, optional course, technical
MST.FSC (P221-0064) Mechatronics and Sensor Technology, Bachelor, ASPO 01.10.2012 , semester 5, optional course
PIB-FISC (P221-0064) Applied Informatics, Bachelor, ASPO 01.10.2022 , semester 5, optional course, informatics specific

Suitable for exchange students (learning agreement)
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 150 hours (equivalent to 5 ECTS credits).
There are therefore 105 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
Recommended as prerequisite for:
Module coordinator:
Prof. Joberto Martins
Lecturer: Prof. Joberto Martins

[updated 19.11.2019]
Learning outcomes:
Internet and networks are evolving and expanding their utilization dramatically.
The students will be able to explain new paradigms, new protocols, new intelligent solutions and large scale complex systems and apply these concepts to various areas of our daily life. They understand the current network evolution trends and know the relevant new technologies involved.
The students are able to analyze the network evolution scenario and apply the new SDN/OpenFlow ideas in the context of the actual and challenging Smart City scenario. They can distinguish certain development challenges with respect to Smart City characteristics, furthermore solve project issues by establishing underlying concepts. They use SDN/OpenFlow architecture and apply basic Machine Learning tools to Smart City project issues.

[updated 26.04.2021]
Module content:
1) Evolutionary Networking Architecture approaches and SDN
- Networking evolution scenario
- Software-Defined Networking (SDN)
- Networks evolutionary architectural issues: virtualization, cognitive management, autonomy, naming, addressing, mobility, scalability
- SDN standardization
2) SDN/ OpenFlow Protocol Ecosystem
- OpenFlow (OF) Architecture and EcoSystem
- OpenFlow and Virtualization
- OpenFlow Protocol Messages and Flow Diagram
- OpenFlow Use Cases: virtual router, level 2 virtualization, other
- OpenFlow hands on with MiniNet
  * MiniNet and basic OpenFlow operation
  * Virtualization with FlowVisor
3) Smart City Project - Characteristics, Requirements and Solutions
- Smart City – Definition, Characteristics and Requirements
- Smart City Framework
- Smart City - Use Cases
4) Smart City Project Use Case
- Smart City model for network communication
- Data and Internet of Things (IoT) in Smart Cities
- Cognitive Management with Machine Learning (ML)
- Other Smart City technological approaches

[updated 26.04.2021]
Recommended or required reading:
[1] F. Theoleyre, T. Watteyne, G. Bianchi, G. Tuna, V. Cagri Gungor, and Ai-Chun Pang. Networking and
Communications for Smart Cities Special Issue Editorial. Computer Communications, 58:1–3, March 2015.
[2] R. Bezerra, F. Maristela, and Joberto Martins. On Computational Infraestruture Requirements to Smart and
Autonomic Cities Framework. In IEEE Int. Smart Cities Conference - ISC2-2015, pages 1–6. IEEE, January 2015.
[3] Joberto S. B. Martins. Towards Smart City Innovation Under the Perspective of Software-Defined Networking,
Artificial Intelligence and Big Data. Revista de Tecnologia da Informação e Comunicação, 8(2):1–7, October 2018.
[4] D. Kreutz, F. M. V. Ramos, P. E. Veríssimo, C. E. Rothenberg, S. Azodolmolky, and S. Uhlig. Software-Defined
Networking: A Comprehensive Survey. Proceedings of the IEEE, 103(1):14–76, January 2015.
[5] Subharthi Paul, Jianli Pan, and Raj Jain. Architectures for the Future Networks and the Next Generation
Internet: A Survey. Computer Communications, 34(1):2–42, January 2011.
[6] A. Gharaibeh, M. A. Salahuddin, S. J. Hussini, A. Khreishah, I. Khalil, M. Guizani, and A. Al-Fuqaha. Smart
Cities: A Survey on Data Management, Security, and Enabling Technologies. IEEE Communications Surveys
Tutorials, 19(4):2456–2501, 2017.
[7] R. Jalali, K. El-khatib, and C. McGregor. Smart City Architecture for Community Level Services Through the
Internet of Things. In 2015 18th Int. Conf. on Intel. in Next Generation Networks, pages 108–113, February 2015.

[updated 26.04.2021]
[Sat Jul 13 03:10:21 CEST 2024, CKEY=kfiascwa, BKEY=mst2, CID=MST.FSC, LANGUAGE=en, DATE=13.07.2024]