Mobile Edge Computing: A Survey on Architecture and Computation Offloading

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00313086" target="_blank" >RIV/68407700:21230/17:00313086 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1109/COMST.2017.2682318" target="_blank" >http://dx.doi.org/10.1109/COMST.2017.2682318</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/COMST.2017.2682318" target="_blank" >10.1109/COMST.2017.2682318</a>

Result language

angličtina

Original language name

Mobile Edge Computing: A Survey on Architecture and Computation Offloading

Original language description

Technological evolution of mobile user equipment (UEs), such as smartphones or laptops, goes hand-in-hand with evolution of new mobile applications. However, running computationally demanding applications at the UEs is constrained by limited battery capacity and energy consumption of the UEs. A suitable solution extending the battery life-time of the UEs is to offload the applications demanding huge processing to a conventional centralized cloud. Nevertheless, this option introduces significant execution delay consisting of delivery of the offloaded applications to the cloud and back plus time of the computation at the cloud. Such a delay is inconvenient and makes the offloading unsuitable for real-time applications. To cope with the delay problem, a new emerging concept, known as mobile edge computing (MEC), has been introduced. The MEC brings computation and storage resources to the edge of mobile network enabling it to run the highly demanding applications at the UE while meeting strict delay requirements. The MEC computing resources can be exploited also by operators and third parties for specific purposes. In this paper, we first describe major use cases and reference scenarios where the MEC is applicable. After that we survey existing concepts integrating MEC functionalities to the mobile networks and discuss current advancement in standardization of the MEC. The core of this survey is, then, focused on user-oriented use case in the MEC, i.e., computation offloading. In this regard, we divide the research on computation offloading to three key areas: 1) decision on computation offloading; 2) allocation of computing resource within the MEC; and 3) mobility management. Finally, we highlight lessons learned in area of the MEC and we discuss open research challenges yet to be addressed in order to fully enjoy potentials offered by the MEC.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20201 - Electrical and electronic engineering

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

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

Name of the periodical

IEEE Communications Surveys and Tutorials

ISSN

1553-877X

e-ISSN

1553-877X

Volume of the periodical

19

Issue of the periodical within the volume

3

Country of publishing house

US - UNITED STATES

Number of pages

29

Pages from-to

1628-1656

UT code for WoS article

000408253800012

EID of the result in the Scopus database

2-s2.0-85028360031