Dynamic Allocation of Computing and Communication Resources in Multi-Access Edge Computing for Mobile Users

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00350152" target="_blank" >RIV/68407700:21230/21:00350152 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/TNSM.2021.3072433" target="_blank" >https://doi.org/10.1109/TNSM.2021.3072433</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TNSM.2021.3072433" target="_blank" >10.1109/TNSM.2021.3072433</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Dynamic Allocation of Computing and Communication Resources in Multi-Access Edge Computing for Mobile Users

Popis výsledku v původním jazyce

The Multi-Access Edge Computing (MEC) constitutes computing over virtualized resources distributed at the edge of mobile network. For mobile users, an optimal allocation of communication and computing resources changes over time and space, and the resource allocation becomes a complex problem. Moreover, for delay constrained applications, the resource allocation to mobile users cannot be solved by approaches designed for static users, as a solution would not be obtained within a desired time. Thus, in this paper, we propose a low-complexity computing and communication resource allocation for offloading of real-time computing tasks generated with a high arrival rate by the mobile users. We exploit probabilistic modeling of the users’ movement to pre-allocate the computing resources at base stations and to select suitable communication paths between the users and the base station with the pre-allocated computing resources. The simulations show that the proposed algorithm keeps the offloading delay below 100 ms for the small tasks even with the arrival rate of five tasks per second per user, while the state-of-the-art algorithms can handle only up to 0.5 tasks per second per user. Thus, the proposal enables an exploitation of the MEC for various real-time applications even if the users are moving.

Název v anglickém jazyce

Dynamic Allocation of Computing and Communication Resources in Multi-Access Edge Computing for Mobile Users

Popis výsledku anglicky

The Multi-Access Edge Computing (MEC) constitutes computing over virtualized resources distributed at the edge of mobile network. For mobile users, an optimal allocation of communication and computing resources changes over time and space, and the resource allocation becomes a complex problem. Moreover, for delay constrained applications, the resource allocation to mobile users cannot be solved by approaches designed for static users, as a solution would not be obtained within a desired time. Thus, in this paper, we propose a low-complexity computing and communication resource allocation for offloading of real-time computing tasks generated with a high arrival rate by the mobile users. We exploit probabilistic modeling of the users’ movement to pre-allocate the computing resources at base stations and to select suitable communication paths between the users and the base station with the pre-allocated computing resources. The simulations show that the proposed algorithm keeps the offloading delay below 100 ms for the small tasks even with the arrival rate of five tasks per second per user, while the state-of-the-art algorithms can handle only up to 0.5 tasks per second per user. Thus, the proposal enables an exploitation of the MEC for various real-time applications even if the users are moving.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20202 - Communication engineering and systems

Projekt

<a href="/cs/project/LTT18007" target="_blank" >LTT18007: Spolupráce s mezinárodním výzkumným centrem v oblasti komunikačních systémů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

IEEE Transactions on Network and Service Management

ISSN

1932-4537

e-ISSN

1932-4537

Svazek periodika

2021

Číslo periodika v rámci svazku

18

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

18

Strana od-do

2089-2106

Kód UT WoS článku

000660636700069

EID výsledku v databázi Scopus

2-s2.0-85104234818