Open Thesis
Ongoing Thesis
Bachelor's Theses
Studying the robustness of hyper-connected mesh core networks
Description
Hyper-connected meshes are a growing idea that improves the connectivity in core networks. This approach adds several links to the existing core network to make it more dense and increases the number of simple paths in the network. There are several approaches to add these links to the network. In this work, we compare the robustness of the different approaches on different topologies and identify the best approach to add links in terms of robustness.
We already have our tool to develop robustness surfaces for the given network. The student is expected to use this tool and compare the robustness of different approaches and make meaningful inferences.
[1] Manzano, M., Sahneh, F., Scoglio, C., Calle, E. and Marzo, J.L., 2014. Robustness surfaces of complex networks. Scientific reports, 4(1), p.6133.
[2] Rueda, D.F., Calle, E. and Marzo, J.L., 2017. Robustness comparison of 15 real telecommunication networks: Structural and centrality measurements. Journal of Network and Systems Management, 25(2), pp.269-289.
This work is in collaboration with Christofer Vásquez from the University of the Bundeswehr, Munich.
Prerequisites
Python, NetworkX, Basic knowledge on robustness surfaces (from the aforementioned references)
Contact
shakthivelu.janardhanan@tum.de
Supervisor:
Topology generation for studying the interdependence of communication networks and electrical networks
topology, communication network, electrical grid
Description
The interdependence of communication networks and electrical power grids is a topic of discussion in recent times. Though researchers try to map the interdependence, there are no topology-level frameworks that have data on both communication networks and electrical power grids. This work aims to generate such topology-level frameworks to publish as open-source to encourage research along this direction.
Prerequisites
Python: NetworkX
Basics of graph theory.
Contact
shakthivelu.janardhanan@tum.de
Supervisor:
Investigating minimal cut set centrality
minimal cut set, centrality, metric
Description
A cut set of a flow is a set of components when removed, cause the flow to fail. A cut set is minimal if it cannot be further reduced. Based on minimal cut sets for flows, this work aims to investigate a potential centrality metric to determine the importance of particular nodes in the network.
Prerequisites
Tools: Python, Good to know Networkx and igraph
Helpful Courses: Kommunikationsnetze, Data Networking, Communication Network Reliability
Contact
shakthivelu.janardhanan@tum.de
Supervisor:
Student Assistant Jobs
Reliability Block Diagram evaluation leveraging minimal path sets
Description
Reliability Block Diagrams (RBDs) are visual aids that help evaluate the availability of a system. In communication networks, the availability evaluation is often computation and memory-intensive owing to the large size of the topologies. Hence, we investigate a novel approach of evaluating RBDs using minimal path sets.
Prerequisites
Python, C++, NetworkX, Igraph
Contact
shakthivelu.janardhanan@tum.de