Literature Database Entry

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.

Quick access

Original Version DOI (at publishers web site)
Authors' Version PDF (PDF on this web site)
BibTeX BibTeX

Contact

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},
   }
   
   

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.

This page was automatically generated using BibDB and bib2web.

Last modified: 2024-04-19