Fragmentation Analysis and Prevention Employing Fragmentation Aware Algorithms

Master's Thesis / Bachelor's Thesis / Student Research Project

Fragmentation Analysis and Prevention Employing Fragmentation Aware Algorithms

Fragmentation Analysis and Prevention Employing Fragmentation Aware Algorithms
Spectrum fragmentation is a phenomenon that affects Dynamic Elastic Optical Networks by decreasing the resource usage efficiency. However, recent studies have shown that this effect is very dependent on the scenarios (topologies, traffic, etc.) that are being evaluated.
Our group has the FlexSim simulation tool, which allows evaluating the resource allocation of Dynamic Elastic Optical Networks. Given the Topology, Bitrate, Modulation Formats, allocation heuristics, and other input parameters, the tool returns performance metrics such as blocking probabilities, blocked demands due to fragmentation or capacity, etc.
The aim of this thesis is to analyze, compare and identify which scenarios have higher blocking due to fragmentation. The thesis will also evaluate the impact of multiband. Based on the analysis, a new resource allocation scheme will be proposed to reduce fragmentation and the total blocking probability.
Target group: Uni: BA oder MA für KT, ST, ME
Requirements: C ++ Beginner to intermediate
Python intermediate
Tags:: Optical Core Networks, Algorithm design, Fragmentation
Supervisor / Contact: Prof. Dr.-Ing. Carmen Mas Machuca
E-Mail: cmas@unibw.de
Tel.: +49 (0) 89 6004 3629, building 35, room 1304

Christofer Vásquez M.Sc.
E-Mail: christofer.vasquez@unibw.de
Tel.: +49 (0) 89 6004 3630, building 35, room 1305