By the same authors

Task allocation for decoding multiple hard real-time video streams on homogeneous NoCs

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Published copy (DOI)

Author(s)

Department/unit(s)

Publication details

Title of host publicationIEEE 13th International Conference on Industrial Informatics (INDIN), 2015
DatePublished - 28 Sep 2015
Pages246-251
Number of pages6
PublisherInstitute of Electrical and Electronics Engineers Inc.
Original languageEnglish
ISBN (Print)9781479966493

Abstract

Hard-real time video systems require deterministic admission control decisions to maintain high levels of predictability. These decisions can be based on the state-of-the-art schedulability analysis of tasks and flows. However, due to the pessimistic behaviour of the schedulability analysis and the uncertainties in the application, the multi-core system resources are usually under-utilised. In this paper we propose two task allocation techniques that exploit application and platform characteristics in order to increase the number of simultaneous, fully schedulable, video streams handled by the system. The first, more generic technique, uses the worst-case remaining slack of the mapped tasks as a heuristic to determine the task to processing core allocation. The paper also investigates a second technique that maps the heavily communicating, critical path tasks of the applications onto same core to reduce the communication overhead. We compare against other heuristic based dynamic mapping techniques in the literature, and show that an overall improvement of up to 10%-15% can be obtained, in admission rates and system utilisation.

    Research areas

  • Decoding, Heuristic algorithms, Real-time systems, Streaming media, Time factors, Timing, Transform coding

Projects

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations