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PADSA: Priority-Aware Block Data Storage Architecture for Edge Cloud Serving Autonomous Vehicles

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00358782" target="_blank" >RIV/68407700:21230/21:00358782 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/VNC52810.2021.9644617" target="_blank" >https://doi.org/10.1109/VNC52810.2021.9644617</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/VNC52810.2021.9644617" target="_blank" >10.1109/VNC52810.2021.9644617</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    PADSA: Priority-Aware Block Data Storage Architecture for Edge Cloud Serving Autonomous Vehicles

  • Original language description

    An efficient Input/Output (I/O) caching mechanism for data storage can deliver the desired performance at a reasonable cost to edge nodes serving autonomous vehicles. Current storage caching solutions are proposed to address common applications for autonomous vehicles that are less demanding in terms of the latency (e.g., map or software upgrades). However, a serious revision of these solutions is necessary for autonomous vehicles, which rely on safety- and time-critical communication for services, such as collision avoidance, requiring very low latency. In this paper, we propose a three-level storage caching architecture for virtualized edge cloud platforms serving autonomous vehicles. This architecture prioritizes safety-critical services and allocates the two top-level caches of Dynamic Random Access Memory (DRAM) and Non-Volatile Memory (NVM) to the top priority services. We further evaluate optimum cache space allocated to each service to minimize the average latency. The experimental results show that the proposed architecture reduces the average latency in safety-critical applications by up to 70% compared to the state-of-the-art.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20206 - Computer hardware and architecture

Result continuities

  • Project

    <a href="/en/project/EF20_079%2F0017983" target="_blank" >EF20_079/0017983: Mobility CTU MSCA-IF-IV-v-79</a><br>

  • Continuities

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

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2021 IEEE VEHICULAR NETWORKING CONFERENCE (VNC)

  • ISBN

    978-1-6654-4450-7

  • ISSN

    2157-9857

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    170-177

  • Publisher name

    IEEE

  • Place of publication

    New York

  • Event location

    Virtual

  • Event date

    Nov 10, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000758412900037