Performance evaluation of computation offloading from mobile device to the edge of mobile network

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00304744" target="_blank" >RIV/68407700:21230/16:00304744 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/CSCN.2016.7785153" target="_blank" >http://dx.doi.org/10.1109/CSCN.2016.7785153</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CSCN.2016.7785153" target="_blank" >10.1109/CSCN.2016.7785153</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Performance evaluation of computation offloading from mobile device to the edge of mobile network

Popis výsledku v původním jazyce

Small Cell Cloud (SCC) consists of Cloud-enabled Small Cells (CeSCs), which serve as radio end-points for mobile user equipments (UEs) and host computation offloaded from mobile UEs. SCC hereby brings advantages of a centralized cloud computation to the users' vicinity. The SCC architecture provides a mechanism for distribution of computation demand across the CeSCs. An effectiveness of the offloading is determined based on quality of radio channel between the UEs and the CeSC and predicted computation complexity. In this paper, we introduce an implementation of an offloading framework to facilitate adaptation of mobile apps for the SCC and to handle low-level communication between the app and the SCC. An evaluation of the offloading framework is conducted using Augmented Reality (AR) app, which requires intensive computations and low latency. The offloading framework and the AR app are a basement for the SCC testbed used to proof the concept of the computation offloading. Various computation and radio parameters are investigated to reveal benefits of the SCC. According to the performed measurements, the computation offloading can decrease latency up to 88 % and energy consumption of the UEs up to 93 %.

Název v anglickém jazyce

Performance evaluation of computation offloading from mobile device to the edge of mobile network

Popis výsledku anglicky

Small Cell Cloud (SCC) consists of Cloud-enabled Small Cells (CeSCs), which serve as radio end-points for mobile user equipments (UEs) and host computation offloaded from mobile UEs. SCC hereby brings advantages of a centralized cloud computation to the users' vicinity. The SCC architecture provides a mechanism for distribution of computation demand across the CeSCs. An effectiveness of the offloading is determined based on quality of radio channel between the UEs and the CeSC and predicted computation complexity. In this paper, we introduce an implementation of an offloading framework to facilitate adaptation of mobile apps for the SCC and to handle low-level communication between the app and the SCC. An evaluation of the offloading framework is conducted using Augmented Reality (AR) app, which requires intensive computations and low latency. The offloading framework and the AR app are a basement for the SCC testbed used to proof the concept of the computation offloading. Various computation and radio parameters are investigated to reveal benefits of the SCC. According to the performed measurements, the computation offloading can decrease latency up to 88 % and energy consumption of the UEs up to 93 %.

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2016 IEEE Conference on Standards for Communications and Networking (CSCN)

ISBN

978-1-5090-3862-6

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

1-7

Název nakladatele

IEEE Communications Society

Místo vydání

Anchorage

Místo konání akce

Berlin

Datum konání akce

30. 10. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000391392900011