JOURNAL ARTICLE

Toward Slicing-Enabled Multi-Access Edge Computing in 5G

Adlen KsentiniPantelis A. Frangoudis

Year: 2020 Journal:   IEEE Network Vol: 34 (2)Pages: 99-105   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Multi-access Edge Computing (MEC) and Network Slicing are two key enablers for 5G, particularly to empower low-latency services, known as Ultra-Reliable Low Latency Communications (URLLC). However, MEC and Network Slicing are evolving in parallel, and are being defined by two different standardization bodies, ETSI and 3GPP, which limits their integration and their benefits as complementary solutions. In this paper, we fill this gap by providing a novel scheme, compliant with both ETSI and 3GPP, that integrates these two key technologies and brings enhanced slicing capabilities to the edge of the 5G network. In particular, we devise a novel management and orchestration architecture, based on the latest 3GPP specifications, which integrates MEC as a 5G sub-slice. Furthermore, we highlight several issues that emerge when extending Network Slicing to the edge, security and isolation included, providing a solution for each issue.

Keywords:
Slicing Computer science Edge computing Standardization Orchestration Computer network Low latency (capital markets) Enhanced Data Rates for GSM Evolution Mobile edge computing Key (lock) Distributed computing Server Telecommunications Operating system

Metrics

99
Cited By
14.41
FWCI (Field Weighted Citation Impact)
3
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Software-Defined Networks and 5G
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Computing and Algorithms
Social Sciences →  Social Sciences →  Urban Studies
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