BlueArch–An Implementation of 5G Testbed

Ghosh, Saptarshi; Ugwuanyi, Emeka E.; Dagiuklas, Tasos; Iqbal, Muddesar

doi:10.12720/jcm.14.12.1110-1118

“…(i) The first category comprises those testbeds that partially achieve some of the primary or secondary attributes of the design criteria for network slicing testbeds. In this regard, the testbeds in [38], [40], [45], [46], [50], [55], [56], [58], [60]- [62], [68]- [71] present network slicing in a particular network domain, and they do not realize a complete E2E network slicing. Reference [56] applies network slicing within multiple-VIMs (DCs); however, this implementation is limited to one network domain, and it does not present E2E network slicing, which crosses all network domains (RAN, TN, and CN).…”

Section: Discussionmentioning

confidence: 99%

“…Consequently, a dedicated channel grants a higher priority to broadband service compared to the best-effort service. [68]. BlueArch platform (Figure 22) includes a customized structure of some open-source tools.…”

Section: Slicenet Platformmentioning

confidence: 99%

Small-Scale 5G Testbeds for Network Slicing Deployment: A Systematic Review

Esmaeily¹,

Kralevska²

2021

Preprint

0

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Developing specialized cloud-based and open-source testbeds is a practical approach to investigate network slicing functionalities in the fifth-generation (5G) mobile networks. This paper provides a comprehensive review of most of the existing cost-efficient and small-scale testbeds that partially or fully deploy network slicing. First, we present relevant software packages for the three main functional blocks of the ETSI NFV MANO framework and for emulating the access and core network domains. Second, we define primary and secondary design criteria for deploying network slicing testbeds. These design criteria are later used for comparison between the testbeds. Third, we present the state-of-the-art testbeds, including their design objectives, key technologies, network slicing deployment, and experiments. Next, we evaluate the testbeds according to the defined design criteria and present an in-depth summary table. This assessment concludes with the superiority of some of them over the rest and the most dominant software packages satisfying the ETSI NFV MANO framework. Finally, challenges, potential solutions, and future works of network slicing testbeds are discussed.

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“…There are recently developed testbeds for 5G research, as it is the case for the 5Greplay testbed (Salazar et al, 2021, which was designed for 5G security research and development of fuzzing platform for attack injection. BlueArch (Ghosh et al, 2019) uses several open-source components to provide a 5G customizable platform for experimentation of several scenarios, including IoT-based ones. (Amponis et al, 2022) also describes a testbed that shares some similarities with the one presented in this paper, designed as a cyber-range to test attacks against the 5G Core and RAN.…”

Section: G Testbeds For Iiot Integration and Security Researchmentioning

confidence: 99%

Designing a high-fidelity testbed for 5G-based Industrial IoT

Cruz

¹

,

Cruz

²

,

Pereira

³

et al. 2023

eccws

1

0

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With the rise of the Industrial IoT (Internet of Things) and Industry 4.0 paradigms, many control and sensor systems used for IACS (Industrial Automation and Control Systems) have become more complex, due to the increasing number of interconnected field devices, sensors and actuators often being geographically spread across large areas. Supporting these increasingly sophisticated networked scenarios calls for the involvement of telecommunications and utility providers to better support Machine-to-Machine (M2M) communications and infrastructure orchestration, for which 5G technology is considered a perfect match. Nowadays, such 5G networks empower solutions both for consumer and for industrial IoT scenarios, providing the capacity and the means to seamlessly connect a massive number of gadgets and sensors, with diverse data rate requirements, low latency, and low power consumption. Part of this flexibility is also due to the nature of the 5G Service Architecture (SA), which is based on a microservice concept, dividing its core through multiple functions, allowing it to horizontally scale in a flexible way. Furthermore, the 3GPP specifications encompass specific support for verticals by means of slicing and 5G LANs, paving the way for a paradigm shift in terms of the relationship between service, telecom, and operational infrastructure tenants. However, such benefits come at the cost of extra complexity and, consequently, an increased vulnerability surface. This calls for further research focused on improving 5G infrastructure management, service integration and security, which cannot be safely undertaken in production environments, thus motivating the development of suitable 5G testbeds. This research work, which was developed in the scope of the POWER and Smart5Grid P2020 projects, addresses the creation of a high-fidelity environment for 5G-related research, which encompasses a gNodeB and 5G core, together with emulated User Elements (terminal devices) and IoT nodes (in this specific case, Programmable Logic Controllers), constituting a 5G Industrial IoT scenario designed for development and validation of new solutions, security research, or even advanced training purposes. The entire infrastructure is supported via container orchestration technology, providing enhanced scalability and resilience characteristics.

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“…4.19. BlueArch [68]. BlueArch platform (Figure 22) includes a customized structure of some open-source tools.…”

Section: Integrated Slice Management With Onap Frameworkmentioning

confidence: 99%

“…(i) The first category comprises those testbeds that partially achieve some of the primary or secondary attributes of the design criteria for network slicing testbeds. In this regard, the testbeds in [38,40,45,46,50,55,56,58,[60][61][62][68][69][70][71] present network slicing in a particular network domain, and they do not realize a complete E2E network slicing. Reference [56] applies network slicing within multiple-VIMs (DCs); however, this implementation is limited to one network domain, and it does not present E2E network slicing, which crosses all network domains (RAN, TN, and CN).…”

Section: Comparison Betweenmentioning

confidence: 99%

Small‐Scale 5G Testbeds for Network Slicing Deployment: A Systematic Review

Esmaeily

¹

,

Kralevska

²

2021

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Developing specialized cloud-based and open-source testbeds is a practical approach to investigate network slicing functionalities in the fifth-generation (5G) mobile networks. This paper provides a comprehensive review of most of the existing cost-efficient and small-scale testbeds that partially or fully deploy network slicing. First, we present relevant software packages for the three main functional blocks of the ETSI NFV MANO framework and for emulating the access and core network domains. Second, we define primary and secondary design criteria for deploying network slicing testbeds. These design criteria are later used for comparison between the testbeds. Third, we present the state-of-the-art testbeds, including their design objectives, key technologies, network slicing deployment, and experiments. Next, we evaluate the testbeds according to the defined design criteria and present an in-depth summary table. This assessment concludes with the superiority of some of them over the rest and the most dominant software packages satisfying the ETSI NFV MANO framework. Finally, challenges, potential solutions, and future works of network slicing testbeds are discussed.

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BlueArch–An Implementation of 5G Testbed

Cited by 7 publications

References 14 publications

Small-Scale 5G Testbeds for Network Slicing Deployment: A Systematic Review

Small-Scale 5G Testbeds for Network Slicing Deployment: A Systematic Review

Designing a high-fidelity testbed for 5G-based Industrial IoT

Small‐Scale 5G Testbeds for Network Slicing Deployment: A Systematic Review

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