For the »Broadband and Broadcast« department in Erlangen, the Fraunhofer Institute for Integrated Circuits IIS is currently seeking
Master Thesis Students for simulative evaluation of Information-centric Networking (ICN) for Multi-Access Edge Computing (MEC)

Mobile devices can use cloud computing infrastructure to offload their computing tasks to high performance servers. Taking autonomous driving as an example, low-latency and redundancy requirements need to be fulfilled to enable offloading of tasks. The concept of mobile / multi access edge computing (MEC) or Network Function Virtualization (NFV) brings the necessary computing power closer to the user equipment (UE). MEC enables the task processing nearby the devices where data is generated or consumed.

The new architectural design of the 5th Generation of cellular networks (5G) provides the basis for integration of MEC infrastructure into a cellular network. Data traffic can now flow on the shortest path from the UE to an edge server, which is geographically located nearby. In the context of connected mobility, the integration of nearby edge servers and services enables new functionalities on the one hand, but brings additional challenges to communication relationships, which need to be dynamically adapted due to device movements, on the other hand.

Information-centric Networking (ICN) describes a new addressing approach for data packets ina network. Compared to IP-based communication, where data packets are sent to a participant/host, in ICN content or service descriptions can be used for addressing.

The goal of this master thesis is a simulative evaluation, which ICN approach/es is/are useful for MEC-environments. A special focus should be added to mobility scenarios, where participants can move flexibly. The work may contain the following:

  • Definition of requirements and evaluation of existing ICN approaches for MEC in mobility scenarios
  • Comparison of existing solutions
  • Implementation of the desired ICN approach in OMNeT++
  • Definition of test scenarios
  • Evaluation of the ICN approach and execution of measurements for comparisons, e.g. with IP-based addressing

The work can be done in English or German.

What we expect from you

  • You study computer sciences or similar
  • You are interested and/or have experiences with event-discrete simulation and modeling, OMNeT++ and ICN
  • You ideally have knowledge in C++ and OMNeT++
  • You are following an autonomous, structured and conscientious working style

What you can expect from us

  • An open and cooperative working environment
  • Collaboration in interesting and innovative projects
  • Many opportunities to gain practical experience and attend seminars
  • Flexibility concerning your working hours

Applications are possible in German and English. Please include a cover letter, your CV and your latest transcripts of records (as PDF) and quote ID number 53830-KS. Address your application to Nina Wörlein.

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Job Reference: 53830 Closing Date: