EdgeNet

Şenel, Berat Can; Mouchet, Maxime; Cappos, Justin; Fourmaux, Olivier; Friedman, Timur; McGeer, Rick

doi:10.1145/3434770.3459737

Cited by 16 publications

(2 citation statements)

References 14 publications

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“…In our prototype federation, a tenant deploys its workloads to remote clusters by creating a Selective Deployment [65] that targets the remote clusters using affinities, such as locations and connected devices. 47 This, for example, allows tenants to deploy their workloads on multiple clusters, thereby on multiple nodes, in the same region in order to provide fault tolerance.…”

Section: ) Federationmentioning

confidence: 99%

“…⊂ V represent the subnamespaces of w. The hierarchical resource quota problem here is twofold. First, we must ensure that a tenant resource quota q(T v ) is equal to aggregated resource quota 47 This is an extension to the Selective Deployment mechanism in our previous work [65]. There, workloads could be deployed to remote nodes within a single geographically dispersed cluster.…”

Section: Tenant Resource Quotamentioning

confidence: 99%

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Multitenant Containers as a Service (CaaS) for Clouds and Edge Clouds

Şenel,

Mouchet,

Cappos

et al. 2023

IEEE Access

Self Cite

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In recent years, along with containers, the cloud community has rapidly taken up Kubernetes, the de facto industry standard container orchestration system. All major cloud providers currently offer Kubernetesbased Containers as a Service (CaaS). However, when CaaS is offered to multiple independent consumers, or tenants, a multi-instance approach is used, in which each tenant receives its own separate cluster, which imposes significant overhead due to employing virtual machines for isolation. If CaaS is to be offered not only in the cloud, but also in the edge cloud, where resources are limited, another solution is required. In this paper, drawing upon the scientific literature, we provide a novel classification of Kubernetes multitenancy into three approaches: multi-instance through multiple clusters, multi-instance through multiple control planes, and single-instance native. We propose a single-instance multitenancy framework, meaning tenants are served out of a shared control plane in a single cluster. Our empirical findings show that the singleinstance approach imposes a markedly decreased overhead than the other two. However, it entails a tradeoff in workload isolation owing to tenants sharing the compute nodes. There are still means to compensate for such weakened isolation, and we describe how our framework does it. The framework is publicly available as liberally-licensed, free, open-source software that extends Kubernetes. It is in production use within the EdgeNet testbed for researchers.INDEX TERMS Edge computing, cloud computing, Containers as a Service, multitenancy, Kubernetes

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Section: ) Federationmentioning

confidence: 99%

Section: Tenant Resource Quotamentioning

confidence: 99%

Multitenant Containers as a Service (CaaS) for Clouds and Edge Clouds

Şenel,

Mouchet,

Cappos

et al. 2023

IEEE Access

Self Cite

View full text Add to dashboard Cite

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ISP Probing Reduction with Anaximander

Marechal

Mérindol

Donnet

2022

Passive and Active Measurement

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Since the early 2000's, Internet topology discovery has been an active research topic, providing data for various studies such as Internet modeling, network management, or to assist and support network protocol design. Within this research area, ISP mapping at the router level has attracted little interest despite its utility to perform intra-domain routing evaluation. Since Rocketfuel (and, to a smaller extent, mrinfo), no new tool or method has emerged for systematically mapping intra-domain topologies. In this paper, we introduce Anaximander, a new efficient approach for probing and discovering a targeted ISP in particular. Considering a given set of vantage points, we implement and combine several predictive strategies to mitigate the number of probes to be sent without sacrificing the ISP coverage. To assess the ability of our method to efficiently retrieve an ISP map, we rely on a large dataset of ISPs having distinct nature and demonstrate how Anaximander can be tuned with a simple parameter to control the trade-off between coverage and probing budget.

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Cost optimization in edge computing: a survey

Cao,

Huo,

et al. 2024

Artif Intell Rev

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EdgeNet

Cited by 16 publications

References 14 publications

Multitenant Containers as a Service (CaaS) for Clouds and Edge Clouds

Multitenant Containers as a Service (CaaS) for Clouds and Edge Clouds

ISP Probing Reduction with Anaximander

Cost optimization in edge computing: a survey

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