Multi-Cloud Connectivity for Kubernetes in 5G Networks

Osmani, Lirim; Kauppinen, Tero; Komu, Miika; Tarkoma, Sasu

doi:10.1109/mcom.110.2100124

Cited by 20 publications

(8 citation statements)

References 4 publications

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“…With Network Function Virtualization (NFV) shifting towards a cloud-native architecture, the capacity to unlock the benefits of a multi-cloud (i.e., multi-cluster) deployment and NFV-MANO in the context of 5G features (e.g., slicing) can be practically explored (Osmani et al, 2021). We contemplate such a cross-testbed MANO solution layered on top of four 5G testbeds (see Figure 13), thus, enabling the definition and execution of Network Application experiments across multiple K8s clusters.…”

Section: Cross-testbed Experimentation Via Multi-cloud Manomentioning

confidence: 99%

A network application approach towards 5G and beyond critical communications use cases

Apostolakis,

Valera-Muros,

di Pietro

et al. 2024

Front. Comms. Net.

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Low latency and high bandwidth heralded with 5G networks will allow transmission of large amounts of Mission-Critical data over a short time period. 5G hence unlocks several capabilities for novel Public Protection and Disaster Relief (PPDR) applications, developed to support first responders in making faster and more accurate decisions during times of crisis. As various research initiatives are giving shape to the Network Application ecosystem as an interaction layer between vertical applications and the network control plane, in this article we explore how this concept can unlock finer network service management capabilities that can be leveraged by PPDR solution developers. In particular, we elaborate on the role of Network Applications as means for developers to assure prioritization of specific emergency flows of data, such as high-definition video transmission from PPDR field users to remote operators. To demonstrate this potential in future PPDR-over-5G services, we delve into the transfer of network-intensive PPDR solutions to the Network Application model. We then explore novelties in Network Application experimentation platforms, aiming to streamline development and deployment of such integrated systems across existing 5G infrastructures, by providing the reliability and multi-cluster environments they require.

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Section: Cross-testbed Experimentation Via Multi-cloud Manomentioning

confidence: 99%

A network application approach towards 5G and beyond critical communications use cases

Apostolakis,

Valera-Muros,

di Pietro

et al. 2024

Front. Comms. Net.

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“…Recently, an integration of KubeFed for deploying workloads in multiple clusters and Network Service Mesh for providing connectivity across cluster boundaries has been proposed in ref. [8]. The aforementioned works make valuable efforts towards cloud-native deployments.…”

Section: Related Workmentioning

confidence: 99%

Deploying cloud‐native experimental platforms for zero‐touch management 5G and beyond networks

et al. 2023

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An experimental framework for managing 5G and beyond networks through cloud‐native deployments and end‐to‐end monitoring is presented. The framework uses containerised network functions in a Kubernetes cluster across a multi‐domain network spanning cloud and edge hosts. End‐to‐end monitoring is demonstrated through Grafana dashboards that showcase both infrastructure resources and radio metrics in two scenarios involving UPF re‐selection and user mobility. As a third scenario, the authors demonstrate how a decision engine interacts with the experimental platform to perform zero‐touch containerised application relocation, highlighting the potential for enabling dynamic and intelligent management of 5G networks and beyond.

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“…al. [87] proposes an extension to Kubernetes, a popular choice for container orchestration. It proposes a Federated Kubernetes framework for building a unified management mechanism for multiple Kubernetes clusters, where each individual Kubernetes cluster is owned by a different service provider, and is subject to their control polices.…”

Section: E Edge/fog Orchestrationmentioning

confidence: 99%

Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration

Kokkonen¹,

Lovén²,

Motlagh³

et al. 2022

Preprint

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Future AI applications require performance, reliability, and privacy that the existing, cloud-dependant system architectures cannot provide. In this article, we study orchestration in the device-edge-cloud continuum, and focus on AI for edge, that is, the AI methods used in resource orchestration. We claim that to support the constantly growing requirements of intelligent applications in the device-edge-cloud computing continuum, resource orchestration needs to embrace edge AI and emphasize local autonomy and intelligence. To justify the claim, we provide a general definition for continuum orchestration, and look at how current and emerging orchestration paradigms are suitable for the computing continuum. We describe certain major emerging research themes that may affect future orchestration, and provide an early vision of an orchestration paradigm that embraces those research themes. Finally, we survey current key edge AI methods and look at how they may contribute into fulfilling the vision of future continuum orchestration.

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Multi-Cloud Connectivity for Kubernetes in 5G Networks

Cited by 20 publications

References 4 publications

A network application approach towards 5G and beyond critical communications use cases

A network application approach towards 5G and beyond critical communications use cases

Deploying cloud‐native experimental platforms for zero‐touch management 5G and beyond networks

Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration

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