Reducing Storage and Communication Latencies in Vehicular Edge Cloud

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00363399" target="_blank" >RIV/68407700:21230/22:00363399 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/EuCNC/6GSummit54941.2022.9815597" target="_blank" >https://doi.org/10.1109/EuCNC/6GSummit54941.2022.9815597</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/EuCNC/6GSummit54941.2022.9815597" target="_blank" >10.1109/EuCNC/6GSummit54941.2022.9815597</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Reducing Storage and Communication Latencies in Vehicular Edge Cloud

Popis výsledku v původním jazyce

Low-latency data access is crucial in edge clouds serving autonomous vehicles. Storage I/O caching is a promising solution to deliver the desired storage performance at a reasonable cost in vehicular edge platforms. Current storage I/O caching methods, however, are not specialized for workload characteristics and demands of autonomous vehicles and/or do not consider the communication latency between the vehicle and the base station hosting the edge cloud node. In this work, we propose a storage mechanism for vehicular edge cloud platforms taking communication, I/O cache, and storage latencies into account. We evaluate our proposed framework using realistic storage traces of vehicular services. Our framework reduces the average latency and the average latency of high-priority services by up to 1.56x and 2.43x, respectively, compared to the state-of-the-art works.

Název v anglickém jazyce

Reducing Storage and Communication Latencies in Vehicular Edge Cloud

Popis výsledku anglicky

Low-latency data access is crucial in edge clouds serving autonomous vehicles. Storage I/O caching is a promising solution to deliver the desired storage performance at a reasonable cost in vehicular edge platforms. Current storage I/O caching methods, however, are not specialized for workload characteristics and demands of autonomous vehicles and/or do not consider the communication latency between the vehicle and the base station hosting the edge cloud node. In this work, we propose a storage mechanism for vehicular edge cloud platforms taking communication, I/O cache, and storage latencies into account. We evaluate our proposed framework using realistic storage traces of vehicular services. Our framework reduces the average latency and the average latency of high-priority services by up to 1.56x and 2.43x, respectively, compared to the state-of-the-art works.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20203 - Telecommunications

Projekt

<a href="/cs/project/EF17_050%2F0008025" target="_blank" >EF17_050/0008025: Mezinárodní mobility výzkumných pracovníků MSCA-IF na ČVUT</a><br>

Návaznosti

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

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

2022 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)

ISBN

978-1-6654-9871-5

ISSN

2475-6490

e-ISSN

2575-4912

Počet stran výsledku

6

Strana od-do

291-296

Název nakladatele

IEEE

Místo vydání

New Jersey

Místo konání akce

Grenoble

Datum konání akce

6. 6. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000852896500050