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Falko Dressler and Onur Altintas, "6G Virtualized Edge Computing - From Vehicles to Edge and Back," Tutorial, IEEE Consumer Communications and Networking Conference (CCNC 2024), Las Vegas, NV, January 06, 2024.


As we move from 5G to 6G, edge computing is one of the concepts that needs revisiting. Its core idea is still intriguing: Instead of sending all data and tasks from an end user’s device to the cloud, possibly covering thousands of kilometers and introducing delays lower bounded by propagation speed, edge servers deployed in close proximity to the user, e.g., at some base station, serve as proxy for the cloud. This is particularly interesting for upcoming ma-chine learning (ML)-based intelligent services, which require substantial computational and networking performance for continuous model training. Yet this promising idea is hampered by the limited number of such edge servers. In a parallel universe, car makers have discussed challenges and opportunities of the con-nected cars vision in relation to the need for distributed data management solutions ranging from the vehicle to the mobile edge and to the data centers. As a new concept, vehicle mi-cro clouds have been proposed that bridge the gap between fully distributed vehicular net-works based on short range device to device communication and 5G+ based infrastructure for centralized solutions. Using selected application examples including the use of virtual traffic lights, intelligent intersection management, and platooning, we assess the needs on the underlying system components with a particular focus on inter-vehicle communication. Researchers from academia and industry met multiple times at international Dagstuhl sem-inars to discuss open research challenges as well as open issues related to market-oriented design. In this tutorial, we discuss a way forward, namely the virtual edge computing (V-Edge) con-cept. V-Edge helps bridging the gap between cloud, edge, and fog by virtualizing all availa-ble resources including the end users’ devices and making these resources widely available. Thus, V-Edge acts as an enabler for novel microservices as well as cooperative computing solutions in next-generation networks. We introduce the general V-Edge architecture, and we characterize some of the key research challenges to overcome, to enable wide-spread and intelligent edge services. The tutorial is supported by the paper Falko Dressler, Carla Fabiana Chiasserini, Frank H. P. Fitzek, Holger Karl, Renato Lo Cigno, Antonio Capone, Claudio Ettore Casetti, Francesco Malandrino, Vincenzo Mancuso, Florian Klingler and Gianluca A. Rizzo, "V-Edge: Virtual Edge Computing as an Enabler for Novel Microservices and Cooperative Computing," IEEE Net-work, vol. 36 (3), pp. 24–31, May 2022.

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Falko Dressler
Onur Altintas

BibTeX reference

    author = {Dressler, Falko and Altintas, Onur},
    title = {{6G Virtualized Edge Computing - From Vehicles to Edge and Back}},
    howpublished = {Tutorial},
    publisher = {IEEE Consumer Communications and Networking Conference (CCNC 2024)},
    location = {Las Vegas, NV},
    day = {06},
    month = {01},
    year = {2024},

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