Welcome to the Chair of Communication Networks

 

Prof. Dr.-Ing. Carmen Mas Machuca
Bundeswehr University Munich
Chair of Communication Networks
Werner-Heisenberg-Weg 39
D-85579 Neubiberg

 

 

 

 

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ONDM 2024 in Madrid (Spain)

The 28th International Conference in Optical Network Design and Modeling (ONDM) was organized by UC3M, Madrid (Spain) from May 6th to May 9th, 2024. The General Chair David Larrabeiti-López with the TPC Chairs Luca Valcarenghi, Carmen Mas-Machuca, and José A. Hernández-Gutiérrez successfully prepared an excellent program covering cutting-edge research in established areas of optical networking and their adoption in support of a wide variety of new services and applications. This included the most recent trends such as 5G and beyond; data-centre networking; Internet of things; cloud/edge computing; content delivery; big data, data analytics, network telemetry, and real-time monitoring; autonomic networking; artificial intelligence / machine learning assisted networks; visible light networks; and quantum secured networks.
The link of the conference is https://ondm2024.uc3m.es
 
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Opening ICIN'24 session

March 11th-14th, 2024: Prof. Carmen Mas Machuca as TPC Co-Chair of the 27th Conference on “Innovation in Clouds, Internet and Networks” (ICIN 2024), has participated at the opening session. ICIN 2024 has taken place in Paris (France) and this particular edition was focused on the emergence and future developments of “Intelligent network service management across the compute continuum”. Since 1989, ICIN conferences have gathered global Internet and Telecom experts from industry, academia, and government. Renowned for identifying research challenges and industry trends, ICIN fosters interdisciplinary collaboration and idea exchange in cloud networking and Internet communities.
 
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Best student paper award at IEEE CQR2023

October 24th, 2023, Shakthivelu Janardhanan, Ph.D. student of Prof. Carmen Mas Machuca, received the best student paper award for the paper “Zohra: Joint Routing and Manufacturer Assignment Problem". The award criteria was the paper quality as well as the presentation.
Network operators use components from multiple manufacturers to avoid a dependency on one manufacturer. This manufacturer diversity triggers a new problem in appropriately placing the components from different manufacturers in the topology, considering their cost and availability. This work aims to solve the Joint Routing and Manufacturer Assignment (JRMA) problem, where the operator’s purchase cost does not exceed the budget while network availability is maximized using a Non-Linear Program (NLP). Zohra, the proposed solution, is applied to different topologies and traffic matrices and compared with other simpler centrality metrics-based heuristics, showing Zohra’s advantage.
This work has been funded by the Bavarian Ministry of Economic Affairs, Regional Development, and Energy under the project ‘6G Future Lab Bavaria’.
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