Reducing Computation, Communication, and Storage Latency in Vehicular Edge Computing

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00379319" target="_blank" >RIV/68407700:21230/24:00379319 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/abstract/document/10683495" target="_blank" >https://ieeexplore.ieee.org/abstract/document/10683495</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/VTC2024-Spring62846.2024.10683495" target="_blank" >10.1109/VTC2024-Spring62846.2024.10683495</a>

Result language
angličtina
Original language name
Reducing Computation, Communication, and Storage Latency in Vehicular Edge Computing
Original language description
This paper addresses the challenge of optimizing communication, computation, and storage I/O caching in Vehicular Edge Computing (VEC) platforms for autonomous vehicles. The exponential data generated by the autonomous vehicles demands low-latency connectivity with nearby edge servers. However, the existing VEC platforms struggle to meet the performance requirements, especially in real-time applications like collision avoidance. This work proposes a novel algorithm for joint allocation of computing resources, storage I/O cache, and communication resources, considering the diverse priorities and demands of key vehicular services. Our approach integrates application-specific optimizations, prioritization, and joint latency reduction considering communication, computation, as well as storage. Accounting for distinct priorities and data access characteristics of various vehicular services, our proposed feasible solution, employing dual decomposition and Lagrangian relaxation, significantly reduces service latency by up to 64% compared to the current state-of-the-art resource allocation in vehicular edge computing.
Czech name
—
Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of The 2024 IEEE 99th Vehicular Technology Conference: VTC2024-Spring
ISBN
979-8-3503-8741-4
ISSN
2577-2465
e-ISSN
—
Number of pages
7
Pages from-to
1-7
Publisher name
IEEE Vehicular Technology Society
Place of publication
New York
Event location
Singapore
Event date
Jun 24, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001327706002141

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