Local Search Heuristics for Media Streams Planning with Transcoding

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Authors

MAREK Jiří RUDOVÁ Hana HOLUB Petr

Year of publication 2014
Type Article in Proceedings
Conference IEEE 13th International Symposium on Network Computing and Applications NCA 2014
MU Faculty or unit

Faculty of Informatics

Citation
Doi http://dx.doi.org/10.1109/NCA.2014.32
Field Informatics
Keywords Local search; Media Streams Planning Problem; transcoding; partial topology knowledge; Roulette Wheel Selection; CoUniverse; UltraGrid; multimedia transfers; real-time planning
Attached files
Description Recent advances in processing capabilities of commodity hardware enabled deployment of high-performance collaborative environments in various application fields, where maximum image quality and interactivity are critical. In this paper, we focus on user-empowered collaborative environments that rely on information available to the users and that can be obtained from the end-nodes connected to the network. We build upon our previous work on scheduling strategies for multi-point data distribution, while utilizing media transcoding during the distribution and partial network topology knowledge that may be provided by the users. The novelty introduced by this paper focuses on improving scheduling scalability by employing local search metaheuristics, allowing us to maintain systems comprising more than twice as many applications compared to the previous approaches.
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