On the study and deployment of mobile edge cloud for tactile Internet using a 5G gaming application

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Contributors

Abstract

Future applications such as driverless cars, industrial Internet and smart grids will demand high bandwidth, resilience, security and low latency communication at the same time. Those technical requirements will be met by the 5G communication system, which is not only focusing on the future air interface but also the deployment in the core network. The paradigm shift from agnostic store-and-forward towards intelligent networks paves the ground for the mobile edge cloud - a concept to not only place cloud computing in close proximity to the users or things, such as in the base stations or even in access points in the houses, but also move the cloud with the user as the device moves along the network. This would enable minimum latency services, which require advanced migration techniques that facilitate not just quick but very frequent migrations. In this paper, we study and compare the state of the art migration techniques offered by virtualization tools like docker and KVM and propose an application level migration protocol that eliminates the drawbacks of the former. We also present the implementation of the proposed protocol in a latency sensitive gaming application, where the server is migrated live during the gameplay between hosts, transparently to the users, as a proof of concept and study the handover in detail.

Details

Original languageEnglish
Title of host publication2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages154-159
Number of pages6
ISBN (electronic)9781509061969
Publication statusPublished - 17 Jul 2017
Peer-reviewedYes

Publication series

SeriesIEEE Consumer Communications and Networking Conference
ISSN2331-9852

Conference

Title14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017
Duration8 - 11 January 2017
CityLas Vegas
CountryUnited States of America

External IDs

ORCID /0000-0001-8469-9573/work/161891282