Literature Database Entry

dressler2024andescon-keynote


Falko Dressler, "6G Edge Computing: Improving Coverage and Resilience," Keynote, IEEE ANDESCON 2024, Cusco, Peru, September 12, 2024.


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, edge servers deployed in close proximity to the user serve as proxy for the cloud. This is particularly interesting for upcoming machine learning (ML)-based intelligent services, which require substantial computational and networking performance for continuous model training. At the same time, disruptions and major outages of our communication infrastructure pose a very realistic thread to our mission-critical infrastructure and may also severely impact our daily life. Lessons learned from previous natural disasters helped identifying problems but also solution spaces. In this talk, we discuss a way forward, namely the virtual edge computing (V-Edge) concept. 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 characterize some of the key research challenges to overcome, to enable wide-spread and intelligent edge services. This is further supported by concepts of turning mobile systems such as cars and trucks of first responders into mobile base stations to provide network coverage even when infrastructure such as the energy grid or the 5G base stations are down.

Quick access

BibTeX BibTeX

Contact

Falko Dressler

BibTeX reference

@misc{dressler2024andescon-keynote,
    author = {Dressler, Falko},
    title = {{6G Edge Computing: Improving Coverage and Resilience}},
    howpublished = {Keynote},
    publisher = {IEEE ANDESCON 2024},
    location = {Cusco, Peru},
    day = {12},
    month = {09},
    year = {2024},
   }
   
   

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: 2024-10-14