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Reducing storage and communication latencies in vehicular edge cloud

Kishani, M ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1109/EuCNC/6GSummit54941.2022.9815597
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2022
  4. Abstract:
  5. 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. © 2022 IEEE
  6. Keywords:
  7. Communication ; I/O Cache ; Storage ; Vehicular Edge Cloud ; Cache memory ; Vehicle to vehicle communications ; 'current ; Autonomous Vehicles ; Caching methods ; Communication latency ; Data access ; Edge clouds ; I/O cache ; Low latency ; Storage performance ; Vehicular edge cloud ; Autonomous vehicles
  8. Source: 2022 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2022, 7 June 2022 through 10 June 2022 ; 2022 , Pages 291-296 ; 9781665498715 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/9815597