Network Softwarization, particularly Network Function Virtualization (NFV), is revolutionizing networking by separating the hardware from the supported network functions, demonstrating unprecedented flexibility and cost-efficiency. With the rise of edge computing, NFV has found a strategic application at the network edge, where network functions are deployed closer to end-users and devices with improved performance and reduced latency. In this context, the serverless paradigm is gaining attention due to its fine-grained scalability, reduced management efforts, and resource efficiency. Despite the advantages, challenges arise from the ephemeral nature of serverless functions, leading to latency issues and hampering the creation of efficient coordination and orchestration mechanisms. Adopting this paradigm in resource-constrained scenarios, such as cloud edges, is even more challenging due to the insufficient presence of proper quality-of-service (QoS) mechanisms in these platforms. This article introduces our novel time effective middleware for priority oriented serverless network function virtualization (TEMPOS4NFV), a QoS-aware platform specialized in hosting serverless network functions in resource-constrained environments. TEMPOS4NFV addresses resource contention and coordination challenges, offering effective end-to-end QoS differentiation for network workloads executed over multiple federated sites. In addition, this article examines TEMPOS4NFV hosting a real virtual private network (VPN) case, demonstrating its ability to execute concurrent multi-site QoS differentiated workloads.

Serverless Computing for QoS-Effective NFV in the Cloud Edge / Sabbioni, Andrea; Garbugli, Andrea; Foschini, Luca; Corradi, Antonio; Bellavista, Paolo. - In: IEEE COMMUNICATIONS MAGAZINE. - ISSN 0163-6804. - STAMPA. - 62:4(2024), pp. 40-46. [10.1109/mcom.001.2300182]

Serverless Computing for QoS-Effective NFV in the Cloud Edge

Sabbioni, Andrea;Garbugli, Andrea;Foschini, Luca;Corradi, Antonio;Bellavista, Paolo
2024

Abstract

Network Softwarization, particularly Network Function Virtualization (NFV), is revolutionizing networking by separating the hardware from the supported network functions, demonstrating unprecedented flexibility and cost-efficiency. With the rise of edge computing, NFV has found a strategic application at the network edge, where network functions are deployed closer to end-users and devices with improved performance and reduced latency. In this context, the serverless paradigm is gaining attention due to its fine-grained scalability, reduced management efforts, and resource efficiency. Despite the advantages, challenges arise from the ephemeral nature of serverless functions, leading to latency issues and hampering the creation of efficient coordination and orchestration mechanisms. Adopting this paradigm in resource-constrained scenarios, such as cloud edges, is even more challenging due to the insufficient presence of proper quality-of-service (QoS) mechanisms in these platforms. This article introduces our novel time effective middleware for priority oriented serverless network function virtualization (TEMPOS4NFV), a QoS-aware platform specialized in hosting serverless network functions in resource-constrained environments. TEMPOS4NFV addresses resource contention and coordination challenges, offering effective end-to-end QoS differentiation for network workloads executed over multiple federated sites. In addition, this article examines TEMPOS4NFV hosting a real virtual private network (VPN) case, demonstrating its ability to execute concurrent multi-site QoS differentiated workloads.
2024
Serverless Computing for QoS-Effective NFV in the Cloud Edge / Sabbioni, Andrea; Garbugli, Andrea; Foschini, Luca; Corradi, Antonio; Bellavista, Paolo. - In: IEEE COMMUNICATIONS MAGAZINE. - ISSN 0163-6804. - STAMPA. - 62:4(2024), pp. 40-46. [10.1109/mcom.001.2300182]
Sabbioni, Andrea; Garbugli, Andrea; Foschini, Luca; Corradi, Antonio; Bellavista, Paolo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/969575
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