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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20206 - Computer hardware and architecture

Projekt

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

Návaznosti

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

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

2021 IEEE VEHICULAR NETWORKING CONFERENCE (VNC)

ISBN

978-1-6654-4450-7

ISSN

2157-9857

e-ISSN

—

Počet stran výsledku

8

Strana od-do

170-177

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Virtual

Datum konání akce

10. 11. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000758412900037