Towards an FPGA-Accelerated programmable data path for edge-to-core communications in 5G networks

Ricart‐Sanchez, Ruben; Malagón, Pedro; Salvá-García, Pablo; Perez, Enrique Chirivella; Wang, Qi; Calero, José M. Alcaraz

doi:10.1016/j.jnca.2018.09.012

Cited by 33 publications

(24 citation statements)

References 26 publications

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“…The main architecture for prototyping is based on NetFPGA (10 Gbps) cards and the P4 programming language, following the SimpleSumeSwitch architecture [12]. The proposed architecture in this paper allows not only traffic parsing and classification b ased o n t he s olution p resented i n [13], but also applying QoS control to the multimedia especially video transmission over 5G networks. This QoS control is applied through a Representational State Transfer (REST) API, which allows selecting the priorities of the 5G network traffic processed by the NetFPGA.…”

Section: Key Technical Enablers and Innovationsmentioning

confidence: 99%

Enable Advanced QoS-Aware Network Slicing in 5G Networks for Slice-Based Media Use Cases

Wang

Calero

Ricart‐Sanchez

et al. 2019

IEEE Trans. on Broadcast.

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Media use cases for emergency services require mission-critical levels of reliability for the delivery of media-rich services such as video streaming. With the upcoming deployment of the Fifth Generation (5G) networks, a wide variety of applications and services with heterogeneous performance requirements are expected to be supported, and any migration of missioncritical services to 5G networks presents significant challenges in the Quality of Service (QoS), for emergency service operators. This paper presents a novel SliceNet framework, based on advanced and customisable network slicing to address some of the highlighted challenges in migrating eHealth telemedicine services to 5G networks. An overview of the framework outlines the technical approaches in beyond the-state-of-the-art network slicing. Subsequently, the paper emphasises the design and prototyping of a media-centric eHealth use case, focusing on a set of innovative enablers towards achieving end-to-end QoS-aware network slicing capabilities, required by this demanding use case. Experimental results empirically validate the prototyped enablers and demonstrate the applicability of the proposed framework in such media-rich use cases.

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Section: Key Technical Enablers and Innovationsmentioning

confidence: 99%

Enable Advanced QoS-Aware Network Slicing in 5G Networks for Slice-Based Media Use Cases

Wang

Calero

Ricart‐Sanchez

et al. 2019

IEEE Trans. on Broadcast.

Self Cite

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“…This series of chips contains several GPU cores and several ARM CPU cores. Using container virtual machines installed in the ARM CPU, the master node can control and schedule GPU resources.FPGA resource nodes: This node provides FPGA computing resources for the system [41]. It is used for hardware acceleration in the fields of video/image processing, deep learning, gene detection, financial data analysis, and so on.…”

Section: System Frameworkmentioning

confidence: 99%

“…FPGA resource nodes: This node provides FPGA computing resources for the system [41]. It is used for hardware acceleration in the fields of video/image processing, deep learning, gene detection, financial data analysis, and so on.…”

Section: System Frameworkmentioning

confidence: 99%

SatEC: A 5G Satellite Edge Computing Framework Based on Microservice Architecture

Lei

Cao

Gong

et al. 2019

Sensors

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As outlined in the 3Gpp Release 16, 5G satellite access is important for 5G network development in the future. A terrestrial-satellite network integrated with 5G has the characteristics of low delay, high bandwidth, and ubiquitous coverage. A few researchers have proposed integrated schemes for such a network; however, these schemes do not consider the possibility of achieving optimization of the delay characteristic by changing the computing mode of the 5G satellite network. We propose a 5G satellite edge computing framework (5GsatEC), which aims to reduce delay and expand network coverage. This framework consists of embedded hardware platforms and edge computing microservices in satellites. To increase the flexibility of the framework in complex scenarios, we unify the resource management of the central processing unit (CPU), graphics processing unit (GPU), and field-programmable gate array (FPGA); we divide the services into three types: system services, basic services, and user services. In order to verify the performance of the framework, we carried out a series of experiments. The results show that 5GsatEC has a broader coverage than the ground 5G network. The results also show that 5GsatEC has lower delay, a lower packet loss rate, and lower bandwidth consumption than the 5G satellite network.

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“…In this solution, the authors use the dual Read/Write ports of the BRAM memory to process two search in every clock. Ricart-Sanchez et al [10] proposes a hardware-based data-path for 5G multitenant scenarios. Authors provide an exhaustive analysis in terms of performance, scalability and reliability of the datapath developed, however they do not present any security solution for 5G multi-tenant scenarios which has been the main motivation of this research work.…”

Section: Related Workmentioning

confidence: 99%

NetFPGA-Based Firewall Solution for 5G Multi-Tenant Architectures

Ricart‐Sanchez

Malagón

Calero

et al. 2019

2019 IEEE International Conference on Edge Computing (EDGE)

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Future fifth-generation (5G) mobile networks entails architectural and network changes, mainly motivated by the idea of sharing resources between different network operators, which implies a reduction of the costs, thanks to the deployment of virtualised scenarios in shared infrastructures, and an improvement of the network usability. These architectural changes should guarantee that security and 5G Key Performance Indicators (KPIs) are achieved in 5G multi-tenant scenarios. The deployment of advanced architectures and network scenarios for the emerging 5G networks involves a renovation of the elements that compose them. Nowadays, there is no hardware solution which ensures the protection in 5G edge to core multi-tenant scenarios, therefore this paper proposes a fully functional 5G firewall based on a Field Programmable Gate Array (FPGA) that allows effective detention of cyber-attacks in 5G multi-tenant scenarios with user mobility support. The prototyped 5G firewall has been empirically evaluated to validate new capabilities in a 5G edge-to-core scenario. Moreover, an extensive performance and scalability test of the prototyped system has been carried out in a realistic testbed.

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Towards an FPGA-Accelerated programmable data path for edge-to-core communications in 5G networks

Cited by 33 publications

References 26 publications

Enable Advanced QoS-Aware Network Slicing in 5G Networks for Slice-Based Media Use Cases

Enable Advanced QoS-Aware Network Slicing in 5G Networks for Slice-Based Media Use Cases

SatEC: A 5G Satellite Edge Computing Framework Based on Microservice Architecture

NetFPGA-Based Firewall Solution for 5G Multi-Tenant Architectures

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