Literature Database Entry

pannu2023data


Gurjashan Singh Pannu, Seyhan Ucar, Takamasa Higuchi, Onur Altintas and Falko Dressler, "Data Sharing in Virtual Edge Computing using Coded Caching," Proceedings of 14th IEEE Vehicular Networking Conference (VNC 2023), Istanbul, Turkey, April 2023, pp. 104–111.


Abstract

Multi-access edge computing (MEC) has been identified as a powerful concept for offloading computational tasks and for storing popular data in close proximity of end users; avoiding frequent communication to a back-end cloud server. In the context of vehicular applications, similar functionality can be provided by vehicles collaboratively offering storage and computational resources on-board, i.e., a virtual MEC concept. Data management in a virtual edge is particularly challenging due to the high degree of mobility. Coded caching is a concept to store data on distributed systems in form of fragments. When needed, these fragments are transmitted to the requesting node in a coded form so that the total number of transmissions is reduced (i.e., optimizing for reduced download times and reduced resource utilization). In this paper, we introduce a new protocol for data sharing among vehicles participating in virtual edge computing using coded caching. Our results show that coded caching improve the efficiency of data sharing by up to 50% in a virtual edge computing environment.

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Gurjashan Singh Pannu
Seyhan Ucar
Takamasa Higuchi
Onur Altintas
Falko Dressler

BibTeX reference

@inproceedings{pannu2023data,
    author = {Pannu, Gurjashan Singh and Ucar, Seyhan and Higuchi, Takamasa and Altintas, Onur and Dressler, Falko},
    doi = {10.1109/VNC57357.2023.10136281},
    title = {{Data Sharing in Virtual Edge Computing using Coded Caching}},
    pages = {104--111},
    publisher = {IEEE},
    issn = {2157-9865},
    address = {Istanbul, Turkey},
    booktitle = {14th IEEE Vehicular Networking Conference (VNC 2023)},
    month = {4},
    year = {2023},
   }
   
   

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Last modified: 2024-04-18