Software Defined Networking

Uitgebreide vaknaam	Software Defined Networking
Leerdoelen	The objective of the course Software Defined Networking is to obtain a deep insight into Software Defined Networking as well as underlying concepts, technologies and applications. In particular, the course addresses the following objectives: a. Understanding of key technologies in modern networking b. Understanding of the principles behind the separation of control and data planes c. Can apply concepts of software defined networking for distributed management and optimization of networks d. Have obtained skills in programming techniques to program networks and data planes, e.g. OpenFlow and P4 e. Understand the foundations behind network functions virtualization f. Understand principles behind Hardware- and Software acceleration of Network Functions and can apply them, e.g. in the context of DPDK. semester I b (Please note that this course does not follow the regular block system! Lecture start/end is Nov 2nd/Feb 6th. The exam is expected to take place in April, resit in July or August.)
Omschrijving	The softwarization of networks is nowadays a key driver for innovations in the telecommunications industry and the management of network service providers. While Network functionality traditionally is hardcoded in the network appliances (e.g. routers and switches), Software defined Networking allows introducing new functionality and new ways of programming and managing computer networks. This course deals with topics covering a wide range of topics in the area of software defined networking: • SDN Data Plane • SDN Control Plane • SDN Application Plane • Network Function Virtualization • QoS and QoE in Software Defined Networks
Uren per week
Onderwijsvorm	Hoorcollege (LC), Opdracht (ASM)
Toetsvorm	Opdracht (AST), Schriftelijk tentamen (WE) (Students are requested to obtain an exam grade. The homework grade is not compulsory, but it is accounted with a weight of 30% if a) the exam grade is better than 5.5, b) the homework grade improves the overall grade)
Vaksoort	master
Coördinator	prof. dr. B. Koldehofe
Docent(en)	prof. dr. B. Koldehofe
Entreevoorwaarden
Opmerkingen
Opgenomen in	Opleiding Jaar Periode Type MSc Computing Science: Data Science and Systems Complexity  (Guided choice course units) - semester I b keuze MSc Computing Science: Intelligent Systems and Visual Computing  (Free choice course units) - semester I b keuze MSc Computing Science: Science Business and Policy  (Elective course units) - semester I b verplicht MSc Computing Science: Software Engineering and Distributed Systems  (Guided choice course units) - semester I b keuze