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Einrichtungen >> Technische Fakultät (TF) >> Department Informatik (INF) >> Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme) >>

Effect of the SDN Concept on the Energy System Efficiency in Huge Networks

Art der Arbeit:
Master Thesis
Betreuer:
Alshraa, Abdullah
Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme)
Telefon +49 9131 85-27697, Fax +49 9131 85 27409, E-Mail: abdullah.alshraa@fau.de
Beschreibung der Arbeit:
Software-defined networking (SDN) decouples the control plane (i.e. decision-making) from the data plane (the actual forwarding actions) and provides API between them (e.g. OpenFlow API). With SDN architecture, network engineers no longer have to learn proprietary CLI commands for different vendors. They can focus on developing logically centralized control programs to make network global decisions and send them down to network switches (data plane). Dumped network switches (data plane) receive controller rules/decisions and process network packets accordingly. But, if no decision is found they ask the controller. In smart grids, the use of SDN has enhanced the reliability of field device communication through fast migration of functionality from a failed device towards a redundant device and enabled a power system-dependent prioritization of SGS communication triggered by one SGS.

Problem Definition:
After Defining a huge communication network used for the energy system, the SDN controller should collect all network infrastructure information and form them as a graph (Node-link diagram). Then, a method should find all possible paths between the field devices and their servers (Machine learning algorithms are preferable). Eventually, implementation of network calculus to confirm the performance guarantees and send all related instructions to the forwarding nodes at once. The main goal is to compare the result to the classical SDN method and show the advantages of using network calculus calculations.

Vorausgesetzte Vorlesungen bzw. Kenntnisse:
Students with experience (work or courses) in Java & Python programmings-interest (and preferably first experiences) in computer networks-independent, structured and conscientious way of working

Contact us:
Dr. -Ing. Abdullah Alshra'a abdullah.alshraa@fau.de https://www.cs7.tf.fau.de/persons/alshraa/

Schlagwörter:
SDN, energy
Bearbeitungszustand:
Die Arbeit ist noch offen.

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