Literature Database Entry

dressler20226g-keynote


Falko Dressler, "6G Virtual Edge Computing for Enhanced Network Resilience," Keynote, XI International Congress of Telematics and Telecommunications (CITTEL 2022), Havana, Cuba, November 29, 2022.


Abstract

We will discuss the challenges and opportunities of a connected world relation to the need for distributed data management solutions ranging from IoT devices to the mobile edge and to the data centers. Modern 5G networks promise to provide all means for communication in this domain, particularly when integrating mobile edge computing (MEC). However, it turns out that despite the many advantages, it is unlikely that such services will be provided with sufficient coverage. As a novel concept, virtualized edge computing (V-Edge) is considered. We shed light on future virtual edge computing concepts that will enable edge computing even considering minimal deployment and coverage of 5G MEC. As a use case, we study vehicle micro clouds, which have been proposed that bridge the gap between fully distributed vehicular networks based on short range device to device communication and 5G-based infrastructure.

Quick access

BibTeX BibTeX

Contact

Falko Dressler

BibTeX reference

@misc{dressler20226g-keynote,
    author = {Dressler, Falko},
    title = {{6G Virtual Edge Computing for Enhanced Network Resilience}},
    howpublished = {Keynote},
    publisher = {XI International Congress of Telematics and Telecommunications (CITTEL 2022)},
    location = {Havana, Cuba},
    day = {29},
    month = {11},
    year = {2022},
   }
   
   

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: 2024-04-16