Towards end-to-end application slicing in Multi-access Edge Computing systems: Architecture discussion and proof-of-concept

Bolettieri, Simone; Bui, Dinh Thai; Bruno, Raffaele

doi:10.1016/j.future.2022.05.027

Cited by 14 publications

(7 citation statements)

References 24 publications

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“…Approach Proposed [13] Software-Defined Networks [6] Reinforcement Learning [1] Inter-Slice Control Function [3] Deep Reinforcement Learning [2] MEC Slicing Integration Framework [14] Deep Learning [15] Kubernetes (Velero) [16] Unified MEC Slicing Framework [17] Software-Defined Networks [18] Novel Centralized Control Plane Algorithm [19] Novel End-to-End Network Slicing Architectural Framework Our Proposed Software-Defined Networks proposals for new frameworks and architectures for network slicing and MEC integration, and slice resource management. However, network slice initiation and mobility challenges introduced by their integration in a highly dynamic and mobile environment demand further exploration.…”

Section: Sdn Algorithmsmentioning

confidence: 99%

“…The authors in [18] proposed an algorithm implementing a centralized control plane and virtualized infrastructure to balance the load between various slices in one or multiple MEC servers. In [19], the authors proposed a novel end-to-end slicing architecture that spans multiple domains, including the radio access network, core, and MEC. However, the authors in [18], [19] don't consider the network slice mobility challenges that arise from network slicing and MEC integration.…”

Section: Sdn Algorithmsmentioning

confidence: 99%

“…In [19], the authors proposed a novel end-to-end slicing architecture that spans multiple domains, including the radio access network, core, and MEC. However, the authors in [18], [19] don't consider the network slice mobility challenges that arise from network slicing and MEC integration.…”

Section: Sdn Algorithmsmentioning

confidence: 99%

See 2 more Smart Citations

Toward Network Slicing Enabled Edge Computing: A Cloud-Native Approach for Slice Mobility

Shah¹,

Gregory²,

Li³

2023

Preprint

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<p>Network slicing is a key enabler for 5G and beyond networks that permits operators to provide scalable, flexible, and dedicated networks over a common physical infrastructure. To cope with the rising demand for Ultra-Reliable and Low-Latency Communication (URLLC) in beyond 5G networks, the provision of dedicated secure networks closer to the users is essential. Multi-access Edge Computing (MEC) is a promising technology that provides data and computational resources closer to mobile users. However, MEC servers are resource-constrained, and offering dedicated service-specific network slices at the edge in a highly dynamic and mobile environment is challenging. Network slicing and MEC are being evolved by two different standardization bodies that limit their integration and raise mobility challenges that deserve more attention. We propose a cloud-native microservices architecture for network slice mobility management in MEC that permits each MEC slice to be distributed as stateless and independently deployable microservices. The proposal separates the MEC slice operational data and the user context, as each network function in an MEC slice stores the context in a separate shared database. The proposed architecture leverages new SDN extended federation modules in compliance with the ETSI requirements for inter-MEC system coordination. The federation modules support a more flexible and scalable creation of network slices at MEC servers, efficient resource utilization, and mobility of network slices across MEC servers. The simulation results show that our proposed architecture outperforms the existing SDN-based approaches for network slicing in MEC by achieving high slice acceptance rates and reduced slice migration delay.</p>

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Section: Sdn Algorithmsmentioning

confidence: 99%

Section: Sdn Algorithmsmentioning

confidence: 99%

See 1 more Smart Citation

Toward Network Slicing Enabled Edge Computing: A Cloud-Native Approach for Slice Mobility

Shah¹,

Gregory²,

Li³

2023

Preprint

View full text Add to dashboard Cite

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“…Bolettieri et al [6] focus on network slicing, designing a multi-tenant MEC architecture for application and network slicing, considering different operational and business roles. The authors neglect security issues related to communication within the proposed architecture.…”

Section: Related Workmentioning

confidence: 99%

“…Available at https://opennetworking.org/onos/ 5. Available at https://www.freeipa.org/ 6. Available https://www.openstack.org/…”

mentioning

confidence: 99%

DINO: Dynamic and Intelligent Network Operative for Secure and Efficient Access to the Edge Network Computing Environment

Storni,

Mattos,

Medeiros

2023

Anais Do XLI Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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Multi-access Edge Computing (MEC) extends cloud computing to the network's edge, placing MEC servers closer to End Devices (EDs). This paradigm aims to respond locally to computing tasks, reducing the routed data to the core network and the communication latency. Nevertheless, offloaded task requests may congest MEC servers and increase waiting times. Therefore, this paper proposes the Dynamic and Intelligent Network Operative (DINO) MEC server, an edge computing host server that securely and efficiently handles task offloading. The proposal spans the MEC server from the ED premises to the edge network. DINO splits into Customer Premises Equipment (CPE) and Virtualized Infrastructure (VI), and relies on a modular architecture that allows the CPE to be placed anywhere between the ED's premises and the VI running in the edge network. We assess DINO's performance by varying the number of EDs to verify how the modular architecture affects the network overhead and delay. Results show a minimal increase in the experimented delay due to the proposed MEC server, which is outgrown by the delay due to the medium access control protocol. The network overhead is negligible, allowing EDs accessing an edge service to achieve the same data rate as the EDs accessing a cloud service.

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TRADE-5G: A Blockchain-Based Transparent and Secure Resource Exchange for 5G Network Slicing

Diallo,

Agha,

Martin

2024

Blockchain: Research and Applications

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Towards end-to-end application slicing in Multi-access Edge Computing systems: Architecture discussion and proof-of-concept

Cited by 14 publications

References 24 publications

Toward Network Slicing Enabled Edge Computing: A Cloud-Native Approach for Slice Mobility

Toward Network Slicing Enabled Edge Computing: A Cloud-Native Approach for Slice Mobility

DINO: Dynamic and Intelligent Network Operative for Secure and Efficient Access to the Edge Network Computing Environment

TRADE-5G: A Blockchain-Based Transparent and Secure Resource Exchange for 5G Network Slicing

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