Cloud-aware power control for real-time application offloading in mobile edge computing

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00300580" target="_blank" >RIV/68407700:21230/16:00300580 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1002/ett.3009" target="_blank" >http://dx.doi.org/10.1002/ett.3009</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/ett.3009" target="_blank" >10.1002/ett.3009</a>

Result language

angličtina

Original language name

Cloud-aware power control for real-time application offloading in mobile edge computing

Original language description

Running computationally demanding real-time applications at the mobile user equipment (UE) is complicated because of limited battery life time of the UEs. One solution is to offload demanding computing tasks to a centralized cloud. Nevertheless, this option introduces significant delay consisting in delivery of the offloaded tasks to the cloud and back. Such delay is inconvenient for real-time applications. To cope with high delay, a concept of mobile edge computing has been introduced. The feasible way enabling mobile edge computing is to enhance the small cell base stations (SCeNBs) with computing capabilities. However, a high density of the SCeNBs together with even low mobility of users can result in often outage situation or handover when delay sensitive data cannot be delivered from the computing SCeNBs in time and become irrelevant. In this paper, we propose distributed cloud-aware power control algorithm, which targets to increase the ratio of delivery of computation results to the UE within required delay. Then, we enhance cloud-aware power control by adaptive algorithm. This algorithm exploits iterative process to find appropriate time when the power control is triggered in order to further improve the performance of the cloud-aware power control. The simulations demonstrate notable increase in the ratio of delivered offloaded tasks from the computing SCeNBs comparing with competitive schemes. At the same time, the amount of served data to the users exploiting common, non-cloud, services is increased. As the proposed solution is distributed, related signaling overhead is negligible. Copyright (c) 2015 John Wiley & Sons, Ltd.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

—

Continuities

R - Projekt Ramcoveho programu EK

Publication year

2016

Confidentiality

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

Name of the periodical

Transactions on Emerging Telecommunications Technologies

ISSN

2161-3915

e-ISSN

—

Volume of the periodical

27

Issue of the periodical within the volume

5

Country of publishing house

US - UNITED STATES

Number of pages

14

Pages from-to

648-661

UT code for WoS article

000374699700003

EID of the result in the Scopus database

2-s2.0-84952684894