Literature Database Entry

qiu2023tsoa


Bo-Jun Qiu, Jyh-Cheng Chen and Falko Dressler, "TSOA: Two-State Offloading Algorithm from Users to Co-Located Vehicular Microclouds," Proceedings of 24th IEEE International Conference on High Performance Switching and Routing (HSPR 2023), Albuquerque, NM, June 2023, pp. 146–152.


Abstract

Offloading in edge computing scenarios is considered a prime solution to reduce computational time and also energy resources of the user equipment. This paper focuses on computation offloading from the user equipment to co-located vehicular microclouds. We derive the closed-form system metrics and cross-validate them with simulations. Through a comprehensive observation of vehicular microcloud behavior, the proposed two-state offloading algorithm (TSOA) provides the optimal offloading configuration in both planning and operating states. Finally, our evaluation demonstrates that the proposed TSOA performs optimally among the three offloading schemes.

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Bo-Jun Qiu
Jyh-Cheng Chen
Falko Dressler

BibTeX reference

@inproceedings{qiu2023tsoa,
    author = {Qiu, Bo-Jun and Chen, Jyh-Cheng and Dressler, Falko},
    doi = {10.1109/HPSR57248.2023.10147963},
    title = {{TSOA: Two-State Offloading Algorithm from Users to Co-Located Vehicular Microclouds}},
    pages = {146--152},
    publisher = {IEEE},
    isbn = {978-1-66547-640-9},
    address = {Albuquerque, NM},
    booktitle = {24th IEEE International Conference on High Performance Switching and Routing (HSPR 2023)},
    month = {6},
    year = {2023},
   }
   
   

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Last modified: 2024-07-16