An Integrated, Virtualized Joint Edge and Fog Computing System with Multi-RAT Convergence

Rapone, Damiano; Quasso, Roberto; Chundrigar, Shahzoob Bilal; Talat, Samer T.; Cominardi, Luca; Oliva, Antonio de la; Kuo, Ping-Heng; Mourad, Alain; Colazzo, Alessandro; Parmeggiani, Giacomo; Orive, Aitor Zabala; Lu, Chenguang; Li, Chi‐Yu

doi:10.1109/bmsb.2018.8436927

Cited by 6 publications

(6 citation statements)

References 12 publications

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“…ETSI Multi-Access Edge Computing (MEC) [5], Industrial Internet Consortium (IIC) (now incorporating OpenFog) and 5G-CORAL [6] are three reference architectural frameworks targeting Edge and Fog computing environments. Although each opted for different architectural approaches, they share a common characteristic: they all aim to provide a cohesive infrastructure-level abstraction in a distributed environment.…”

Section: B Edge and Fog Computingmentioning

confidence: 99%

DEEP: A Vertical-Oriented Intelligent and Automated Platform for the Edge and Fog

Guimarães

Groshev

Cominardi³

et al. 2021

IEEE Commun. Mag.

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The 5 th generation (5G) of mobile communications introduces improvements on many fronts when compared to its previous generations. Besides the performance enhancements and new advances in radio technologies, it also integrates other technological domains, such as cloud-to-things continuum and artificial intelligence. In this work, the 5G-DIVE Elastic Edge Platform (DEEP) is proposed as the linking piece for the integration of these technological domains, making available an Intelligent Edge and Fog 5G End-to-End (E2E) solution. Such solution brings numerous benefits to the vertical industries by enabling a streamlined, abstracted, and automated management of their vertical services, thus contributing to the introduction of novel services, cost savings, and improved time-to-market. Preliminary validation of the proposed platform is performed through a proof-of-concept, along with a qualitative analysis of its benefits to Industry 4.0 and Autonomous Drone Scouting vertical industries.

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Section: B Edge and Fog Computingmentioning

confidence: 99%

DEEP: A Vertical-Oriented Intelligent and Automated Platform for the Edge and Fog

Guimarães

Groshev

Cominardi³

et al. 2021

IEEE Commun. Mag.

Self Cite

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“…Unfortunately, NFV flexibility was not exploited. This lack is covered in the works in [10], [11], focused also on vehicular applications, but without particularly dealing with the issue of moving resources. SDN capabilities further improve network flexibility in dynamic scenarios.…”

Section: State Of the Artmentioning

confidence: 99%

MIGRATE: Mobile Device Virtualisation Through State Transfer

et al. 2020

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“…Unfortunately, NFV flexibility was not exploited, and the architecture was only partially developed and evaluated. The architecture presented in [23], although it was not validated, is a generic 5G platform supporting NFV and orchestration following ETSI guidelines, and hybrid communications are supported at the infrastructure side by the MEC layer, in order to be open for different vehicular communication media. In the same way, the work in [24] implemented a MEC layer by using VNFs, which is also the implementation strategy followed in our solution.…”

Section: Related Workmentioning

confidence: 99%

SURROGATES: Virtual OBUs to Foster 5G Vehicular Services

et al. 2019

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Virtualization technologies are key enablers of softwarized 5G networks, and their usage in the vehicular domain can provide flexibility and reliability in real deployments, where mobility and processing needs may be an issue. Next-generation vehicular services, such as the ones in the area of urban mobility and, in general, those interconnecting on-board sensors, require continuous data gathering and processing, but current architectures are stratified in two-tier solutions in which data is collected by on-board units (OBU) and sent to cloud servers. In this line, intermediate cache and processing layers are needed in order to cover quasi-ubiquitous data-gathering needs of vehicles in scenarios of smart cities/roads considering vehicles as moving sensors. The SURROGATES solution presented in this paper proposes to virtualize vehicle OBUs and create a novel Multi-Access Edge Computing (MEC) layer with the aim of offloading processing from the vehicle and serving data-access requests. This deals with potential disconnection periods of vehicles, saves radio resources when accessing the physical OBU and improves data processing performance. A proof of concept has been implemented using OpenStack and Open Source MANO to virtualize resources and gather data from in-vehicle sensors, and a final traffic monitoring service has been implemented to validate the proposal. Performance results reveal a speedup of more than 50% in the data request resolution, with consequently great savings of network resources in the wireless segment. Thus, this work opens a novel path regarding the virtualization of end-devices in the Intelligent Transportation Systems (ITS) ecosystem.

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An Integrated, Virtualized Joint Edge and Fog Computing System with Multi-RAT Convergence

Cited by 6 publications

References 12 publications

DEEP: A Vertical-Oriented Intelligent and Automated Platform for the Edge and Fog

DEEP: A Vertical-Oriented Intelligent and Automated Platform for the Edge and Fog

MIGRATE: Mobile Device Virtualisation Through State Transfer

SURROGATES: Virtual OBUs to Foster 5G Vehicular Services

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