Literature Database Entry

dressler2023edge-tutorial

Falko Dressler and Onur Altintas, "6G Virtualized Edge Computing - From Vehicles to Edge and Back," Tutorial, IEEE Consumer Communications and Networking Conference (CCNC 2023), Las Vegas, NV, January 08, 2023.

Abstract

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 machine learning (ML)-based intelligent services, which require substantial computational and net- working 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 micro clouds have been proposed that bridge the gap between fully distributed vehicular networks based on short range device to device communication and 5G+ based infrastructure for cen- tralized 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 an international Dagstuhl seminar to discuss open research challenges as well as open issues related to market-oriented design. We are now entering an era that might change the game in road traffic management. 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 available 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 charac- terize some of the key research challenges to overcome, to enable wide-spread and intelligent edge services.

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Falko Dressler
Onur Altintas

BibTeX reference

@misc{dressler2023edge-tutorial,
    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 2023)},
    location = {Las Vegas, NV},
    day = {08},
    month = {01},
    year = {2023},
   }
   
   

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Last modified: 2024-04-23