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High-Performance Forward Error Correction: Enabling Multi-Gigabit Flows and Beyond In Presence of Packet Loss On Commodity Hardware

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F16%3A10130427" target="_blank" >RIV/63839172:_____/16:10130427 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.future.2015.04.007" target="_blank" >http://dx.doi.org/10.1016/j.future.2015.04.007</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.future.2015.04.007" target="_blank" >10.1016/j.future.2015.04.007</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    High-Performance Forward Error Correction: Enabling Multi-Gigabit Flows and Beyond In Presence of Packet Loss On Commodity Hardware

  • Original language description

    In demanding real-time multimedia transmissions, even a low packet loss might significantly degrade the visual quality. As retransmission is not an option in real-time transfers especially when transmitting the data over long distances, it is necessary to employ mechanisms of Forward Error Correction (FEC). Low-Density Generator Matrix (LDGM) codes are known to be suitable for coding on large block sizes, however, high bitrates of currently used video formats (FullHD, 4K) also require high throughput of FEC coding. We propose a parallel design of LDGM encoding and decoding algorithms suitable for off-theshelf, (massively) parallel platforms, such CPUs with vector units or GPUs, and evaluate our approach in real-world scenarios of high-definition and 4K video transmissions. Our results show that offloading FEC computation to such platform is beneficial for low-latency, high-quality multimedia transmissions and may even enable transmissions beyond 10 Gbps once the commodity network interfaces reach this speed.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LM2010005" target="_blank" >LM2010005: Large Infrastructure CESNET</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Future Generation Computer Systems

  • ISSN

    0167-739X

  • e-ISSN

  • Volume of the periodical

    54

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    10

  • Pages from-to

    326-335

  • UT code for WoS article

    000368383200026

  • EID of the result in the Scopus database