Christian Koch

People

• Dr.-Ing. Amr Rizk
• Prof. Dr.-Ing. Ralf Steinmetz
• Prof. Dr. David Hausheer
• Prof. Klara Nahrstedt, Ph.D

• Multimedia Communications Lab, TU Darmstadt
• Multimedia Operating Systems and Networking, UIUC, Illinois, USA
• Peer-to-Peer Systems Engineering, TU Darmstadt

Education

Selected Conference Talks (Show All)

IEEE International Conference on Network and Service Management (CNSM)

Talk: vFetch: Video Prefetching using Pseudo Subscriptions and User Channel Affinity in YouTube
Paper:

ACM Multimedia Systems (MMSys)

Talk: Proactive Caching of Music Videos based on Audio Features, Mood, and Genre
Paper:

IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks (WoWMoM)

Talk: VoDCast: Efficient SDN-based Multicast for Video on Demand

ACM Multimedia Systems (MMSys)

Talk: Media Download Optimization through Prefetching and Resource Allocation in Mobile Networks
#Paper:

Projects

MAKI – Multi-Mechanisms Adaptation for the Future Internet

MAKI creates an innovative premise for the communication systems of the future. Its aim is to be more adaptive to changes, particularly during ongoing operations. This could facilitate, for instance, the ability to stream video on a smartphone in high quality without interruptions in spite of busy or overloaded mobile networks. Users would be able to rely on steady and reliable reception even while attending festivals or crowded sporting events.

Industrial cooperation with Deutsche Telekom AG: "Dynamic Networks (D-Nets)"

This is an active research and development project together with the Deutsche Telekom ( Fixed Mobile Engineering Darmstadt ) in the area of ​​future networks.

eCOUSIN: enhanced COntent distribUtion with Social INformation (EU Project - FP7)

The goal of eCOUSIN is to design a novel social-aware network architecture with built-in content dissemination functionalities that exploits the social-content interdependencies to improve its efficiency. This goal translates into the following specific objectives: (i) the implementation of high performance distributed tools for collecting necessary data to study and model the social-content interdependencies; (ii) the improvement of the scalability of network infrastructures when handling content by exploiting social information; (iii) the design of an on-net operational framework that tightly integrates network functionalities and content-related service functionalities; and (iv) the design of algorithms that exploit social information for placing and delivering contents in an optimized manner with a special focus on mobile environments.