RELIABLE: Resource Allocation Mechanism for 5G Network using Mobile Edge Computing

Autor:	Marco Antonio Costa da Silva, Leandro A. Villas, Rodolfo I. Meneguette, Denis Rosário, Douglas D. Lieira, Rickson S. Pereira, Adinovam H. M. Pimenta, Joahannes B. D. da Costa
Přispěvatelé:	Universidade Estadual Paulista (Unesp), Universidade de São Paulo (USP), Universidade Federal de São Carlos (UFSCar), Universidade Estadual de Campinas (UNICAMP), Universidade Federal do Pará (UFPA)
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	business.product_category Computer science resource allocation 02 engineering and technology lcsh:Chemical technology Computational resource 01 natural sciences Biochemistry Article Analytical Chemistry 0202 electrical engineering electronic engineering information engineering Internet access lcsh:TP1-1185 Electrical and Electronic Engineering Resource allocation ALOCAÇÃO DE RECURSOS Instrumentation Mobile edge computing business.industry Quality of service 010401 analytical chemistry MEC 020206 networking & telecommunications Load balancing (computing) Atomic and Molecular Physics and Optics 0104 chemical sciences business 5G Computer network
Zdroj:	Sensors Volume 20 Issue 19 Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP Sensors, Vol 20, Iss 5449, p 5449 (2020) Scopus Repositório Institucional da UNESP Universidade Estadual Paulista (UNESP) instacron:UNESP Sensors (Basel, Switzerland)
ISSN:	1424-8220
DOI:	10.3390/s20195449
Popis:	Technological advancement is currently focused on the miniaturization of devices, and integrated circuits allow us to observe the increase in the number of Internet of Things (IoT) devices. Most IoT services and devices require an Internet connection, which needs to provide the minimum processing, storage and networking requirements to best serve a requested service. One of the main goals of 5G networks is to comply with the user&rsquo s various Quality of Service (QoS) requirements in different application scenarios. Fifth-generation networks use Network Function Virtualization (NFV) and Mobile Edge Computing (MEC) concepts to achieve these QoS requirements. However, the computational resource allocation mechanisms required by the services are considered very complex. Thus, in this paper, we propose an allocation and management resources mechanism for 5G networks that uses MEC and simple mathematical methods to reduce the model complexity. The mechanism decides to allocate the resource in MEC to meet the requirements requested by the user. The simulation results show that the proposed mechanism provides a larger amount of services, leading to a reduction in the service lock number and as a reduction in the blocking ratio of services due to the accuracy of the approach and its load balancing in the process of resource allocation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c46f2fcec7a9371274542438d215ed64 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.