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krijestorac2020hybrid

Enes Krijestorac, Agon Memedi, Takamasa Higuchi, Seyhan Ucar, Onur Altintas and Danijela Čabrić, "Hybrid Vehicular and Cloud Distributed Computing: A Case for Cooperative Perception," Proceedings of IEEE Global Communications Conference (GLOBECOM 2020), Taipei, Taiwan, December 2020.

Abstract

Computationally demanding and time-sensitive vehicular applications are often bottlenecked by the computing power of individual vehicles. In this work, we propose the use of hybrid offloading of computing tasks simultaneously to edge servers (vertical offloading) via LTE communication and to nearby cars (horizontal offloading) via V2V communication, in order to increase the rate at which tasks are processed compared to localized processing. Our main contribution is an optimized resource assignment and scheduling framework for hybrid offloading of computing tasks. The framework optimally utilizes the computational resources in the edge and in the micro cloud, while taking into account communication constraints and task requirements. While cooperative perception is the primary use case of our framework, the framework is applicable to other cooperative vehicular applications with high computing demand and significant transmission overhead. The framework is tested in a simulated environment built on top of car traces and communication rates exported from the Veins vehicular networks simulator. We observe a significant increase in the processing rate of sensor frames when hybrid offloading with optimized resource assignment is adopted. Furthermore, the processing rate increases with V2V connectivity as more computing tasks can be offloaded horizontally.

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Enes Krijestorac
Agon Memedi
Takamasa Higuchi
Seyhan Ucar
Onur Altintas
Danijela Čabrić

BibTeX reference

@inproceedings{krijestorac2020hybrid,
    author = {Krijestorac, Enes and Memedi, Agon and Higuchi, Takamasa and Ucar, Seyhan and Altintas, Onur and Čabri{\'{c}}, Danijela},
    doi = {10.1109/GLOBECOM42002.2020.9322247},
    title = {{Hybrid Vehicular and Cloud Distributed Computing: A Case for Cooperative Perception}},
    publisher = {IEEE},
    address = {Taipei, Taiwan},
    booktitle = {IEEE Global Communications Conference (GLOBECOM 2020)},
    month = {12},
    year = {2020},
   }
   
   

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