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ZENODO
Journal . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2024
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2024
License: CC BY
Data sources: Datacite
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Cross-Cluster Networking to Support Extended Reality Services

Authors: Cordeiro, Luis;

Cross-Cluster Networking to Support Extended Reality Services

Abstract

Extended Reality (XR) refers to a class of contemporary services that are intertwined with a plethora of rather demandingQuality of Service (QoS) and functional requirements. Despite Kubernetes being the de facto standard in terms of deploying andmanaging contemporary containerized microservices, it lacks adequate support for cross-cluster networking, hinderingservice-to-service communication across diverse cloud domains. Although there are tools that may be leveraged alongside Kubernetesin order to establish multi-cluster deployments, each one of them comes with its own drawbacks and limitations. The purpose of thisarticle is to explore the various potential technologies that may facilitate multi-cluster deployments and to propose how they may beleveraged to provide a cross-cluster connectivity solution that caters to the intricacies of XR services. The proposed solution is basedon the use of two open-source frameworks, namely Cluster API for multi-cluster management, and Liqo for multi-clusterinterconnectivity. The efficiency of this approach is evaluated in the context of two experiments. This work is the first attempt atproposing a solution for supporting multi-cluster deployments in a manner that is aligned with the requirements of XR services.

Related Organizations
Keywords

XR, Network, kubernetes, Liqo, Edge, Continuum, Cluster API, Liquid Computing, Cloud, Immersive Services, 5G, 6G

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citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green