Rashid Mijumbi

Summary
Student:	Rashid Mijumbi
Title:	Self-managed Resources in Network Virtualisation Environments
e-mail:	rashid@tsc.upc.edu
Affiliation:	Universitat Politecnica de Catalunya
Supervisor:	Prof. Joan Serrat and Dr. Juan-Luis Gorricho
Start:	October 2010
End:	October 2014
Funding:	Government of Spain

Biography

Rashid graduated from Makerere University (Kampala, Uganda) with a Bachelors Degree in Electrical Engineering. He is currently a PhD Candidate in the department of Signal Theory and Communications at the Technical University of Catalonia (Barcelona, Spain); where he is also a member in the Research group Management, Pricing and Services in Next Generation Networks (MAPS).

Research interests

His research interests are in the management of networks and services for the future Internet. Current focus is on resource management in network virtualisation environments. Medium term focus will be on SDN-based network virtualisation and Network Function Virtualisation (NFV).

Recent publications

Journal Papers

Conference Proceedings

• Niels Bouten, Maxim Claeys, Steven Latré, Jeroen Famaey, Werner Van Leekwijck, Filip De Turck. Deadline-based Approach for Improving Delivery of SVC-based HTTP Adaptive Streaming Content. Accepted for the 2014 IEEE/IFIP International Workshop on QoE Centric Management (QCMan), Krakow, Poland, 2014.
• Sebastiaan Laga, Thomas Van Cleemput, Filip Van Raemdonck, Felix Vanhoutte, Niels Bouten, Maxim Claeys, Filip De Turck. Optimizing Scalable Video Delivery Through OpenFlow Layer-based Routing. Accepted for the 2014 IEEE/IFIP International Workshop on Management of the Future Internet (ManFI), Krakow, Poland, 2014.
• Rashid Mijumbi, Joan Serrat, Juan Luis Gorricho, Maxim Claeys, Filip De Turck, Steven Latré. Design and Evaluation of Learning Algorithms for Dynamic Resource Management in Virtual Networks. Accepted for the 2014 IEEE/IFIP Network Operations and Management Symposium (NOMS), Krakow, Poland, 2014.
• Stefano Petrangeli, Maxim Claeys, Steven Latré, Jeroen Famaey, Filip De Turck. A Multi-Agent Q-Learning-based Framework for Achieving Fairness in HTTP Adaptive Streaming. Accepted for the 2014 IEEE/IFIP Network Operations and Management Symposium (NOMS), Krakow, Poland, 2014.
• Maxim Claeys, Steven Latré, Jeroen Famaey, Tingyao Wu, Werner Van Leekwijck, Filip De Turck. Design of a Q-Learning-based Client Quality Selection Algorithm for HTTP Adaptive Video Streaming. In proceedings of the 2013 workshop on Adaptive and Learning Agents (ALA), Saint Paul (MN), USA, 2013.
• Maxim Claeys, Steven Latre, Jeroen Famaey, Tinyao Wu, Werner Van Leekwijck, Filip De Turck. Design of a Q-Learning-based client quality selection algorithm for HTTP Adaptive Video Streaming. In proceedings of the 2013 workshop on Adaptive and Learning Agents (ALA), Saint-Paul (MN), USA, 2013.

External links

• Homepage of Maxim Claeys
• Publications of Maxim Claeys, as indexed by Google Scholar