Multiobjective Placement of Edge Servers in MEC Environment Using a Hybrid Algorithm Based on NSGA-II and MOPSO

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10257075" target="_blank" >RIV/61989100:27240/24:10257075 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10547537" target="_blank" >https://ieeexplore.ieee.org/document/10547537</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/JIOT.2024.3409569" target="_blank" >10.1109/JIOT.2024.3409569</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Multiobjective Placement of Edge Servers in MEC Environment Using a Hybrid Algorithm Based on NSGA-II and MOPSO

Popis výsledku v původním jazyce

In a mobile edge computing (MEC) environment, latency and energy consumption can be reduced by offloading tasks from mobile devices to edge servers (ESs) instead of remote cloud servers. The placement of ESs closest to end users can improve Quality of Experience and Quality of Service. Additionally, the deployment of additional servers to cover each user will ensure that user requirements are met even if the designated ES is unable to provide service. Therefore, the use of additional ESs can improve network robustness. However, edge service providers tend to cover all areas of a city with a minimum number of servers to save costs. Since the coverage zones of ESs can overlap, fewer additional ESs need to be deployed to support overlapping areas, resulting in cost savings. This article examines the problem of ES placement and proposes a new model to simultaneously optimize network latency, coverage with overlap control, and operational expenditures (OPEXs) of the MEC. In addition, a binary version of the hybrid NSGA II-MOPSO algorithm called BHNM is proposed to obtain the approximated Pareto front. Results based on the real-world data set from Shanghai Telecom show that the BHNM algorithm outperforms the binary MOPSO with turbulence (BMOPSO-T) and NSGA-II algorithms in terms of Pareto front diversity.

Název v anglickém jazyce

Multiobjective Placement of Edge Servers in MEC Environment Using a Hybrid Algorithm Based on NSGA-II and MOPSO

Popis výsledku anglicky

In a mobile edge computing (MEC) environment, latency and energy consumption can be reduced by offloading tasks from mobile devices to edge servers (ESs) instead of remote cloud servers. The placement of ESs closest to end users can improve Quality of Experience and Quality of Service. Additionally, the deployment of additional servers to cover each user will ensure that user requirements are met even if the designated ES is unable to provide service. Therefore, the use of additional ESs can improve network robustness. However, edge service providers tend to cover all areas of a city with a minimum number of servers to save costs. Since the coverage zones of ESs can overlap, fewer additional ESs need to be deployed to support overlapping areas, resulting in cost savings. This article examines the problem of ES placement and proposes a new model to simultaneously optimize network latency, coverage with overlap control, and operational expenditures (OPEXs) of the MEC. In addition, a binary version of the hybrid NSGA II-MOPSO algorithm called BHNM is proposed to obtain the approximated Pareto front. Results based on the real-world data set from Shanghai Telecom show that the BHNM algorithm outperforms the binary MOPSO with turbulence (BMOPSO-T) and NSGA-II algorithms in terms of Pareto front diversity.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

O - Projekt operacniho programu

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

IEEE Internet of Things Journal

ISSN

2327-4662

e-ISSN

—

Svazek periodika

11

Číslo periodika v rámci svazku

18

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

19

Strana od-do

29819-29837

Kód UT WoS článku

001316227800045

EID výsledku v databázi Scopus

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