Design and Simulation of a Hybrid Architecture for Edge Computing in 5G and Beyond
| Autor: | Olivier Boissier, Giyyarpuram Madhusudan, kamal Deep Singh, Yvan Picaud, Hamed Rahimi, Salvatore Costanzo |
|---|---|
| Přispěvatelé: | Laboratoire Hubert Curien [Saint Etienne] (LHC), Institut d'Optique Graduate School (IOGS)-Université Jean Monnet [Saint-Étienne] (UJM)-Centre National de la Recherche Scientifique (CNRS), Orange Labs, Télécom Saint Etienne, Orange Labs [Meylan], Phare, LIP6, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Département Informatique et systèmes intelligents ( FAYOL-ENSMSE), Ecole Nationale Supérieure des Mines de St Etienne, École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT), Université Jean Monnet [Saint-Étienne] (UJM)-Centre National de la Recherche Scientifique (CNRS)-Institut d'Optique Graduate School (IOGS), Institut Henri Fayol (FAYOL-ENSMSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Signal Processing (eess.SP)
FOS: Computer and information sciences Computer science Multi-access Edge Computing Distributed computing Reliability (computer networking) Cloud computing 02 engineering and technology 01 natural sciences Multi-Agent Systems Theoretical Computer Science Agent-based Simulation Server Remote surgery FOS: Electrical engineering electronic engineering information engineering 0202 electrical engineering electronic engineering information engineering Edge Computing [INFO]Computer Science [cs] Hybrid Architecture Electrical Engineering and Systems Science - Signal Processing Latency (engineering) Edge computing ComputingMilieux_MISCELLANEOUS business.industry 010401 analytical chemistry 020206 networking & telecommunications Index Terms-Internet of Things (IoT) Cloud Computing [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation 0104 chemical sciences Computer Science - Distributed Parallel and Cluster Computing Computational Theory and Mathematics Hardware and Architecture Scalability Distributed Parallel and Cluster Computing (cs.DC) business Software 5G |
| Zdroj: | IEEE Transactions on Computers IEEE Transactions on Computers, Institute of Electrical and Electronics Engineers, 2021, 70 (8), pp.1213-1224. ⟨10.1109/TC.2021.3066579⟩ |
| ISSN: | 0018-9340 |
| DOI: | 10.1109/TC.2021.3066579⟩ |
| Popis: | Edge Computing in 5G and Beyond is a promising solution for ultra-low latency applications (e.g. Autonomous Vehicle, Augmented Reality, and Remote Surgery), which have an extraordinarily low tolerance for the delay and require fast data processing for a very high volume of data. The requirements of delay-sensitive applications (e.g. Low latency, proximity, and Location/Context-awareness) cannot be satisfied by Cloud Computing due to the high latency between User Equipment and Cloud. Nevertheless, Edge Computing in 5G and beyond can promise an ultra-high-speed caused by placing computation capabilities closer to endpoint devices, whereas 5G encourages the speed rate that is 200 times faster than 4G LTE-Advanced. This paper deeply investigates Edge Computing in 5G and characterizes it based on the requirements of ultra-low latency applications. As a contribution, we propose a hybrid architecture that takes advantage of novel and sustainable technologies (e.g. D2D communication, Massive MIMO, SDN, and NFV) and has major features such as scalability, reliability and ultra-low latency support. The proposed architecture is evaluated based on an agent-based simulation that demonstrates it can satisfy requirements and has the ability to respond to high volume demands with low latency. Comment: Submitted to Special Issue on Smart Edge Computing and IoT of IEEE Transaction on Computers |
| Databáze: | OpenAIRE |
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