research-article

EdgeNet: A Multi-Tenant and Multi-Provider Edge Cloud

Authors:

Berat Can Şenel,

Maxime Mouchet,

Olivier Fourmaux,

Timur Friedman,

Rick McGeerAuthors Info & Claims

EdgeSys '21: Proceedings of the 4th International Workshop on Edge Systems, Analytics and Networking

Pages 49 - 54

https://doi.org/10.1145/3434770.3459737

Published: 26 April 2021 Publication History

Abstract

EdgeNet is a public Kubernetes cluster dedicated to network and distributed systems research, supporting experiments that are deployed concurrently by independent groups. Its nodes are hosted by multiple institutions around the world. It represents a departure from the classic Kubernetes model, where the nodes that are available to a single tenant reside in a small number of well-interconnected data centers. The free open-source EdgeNet code extends Kubernetes to the edge, making three key contributions: multi-tenancy, geographical deployments, and single-command node installation. We show that establishing a public Kubernetes cluster over the internet, with multiple tenants and multiple hosting providers is viable. Preliminary results also indicate that the EdgeNet testbed that we run provides a satisfactory environment to run a variety of experiments with minimal network overhead.

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Cited By

Khan PGuthula SBeltiukov RSchmid RBühler TGupta AVanbever LWillinger W(2024)Harnessing Public Code Repositories to Develop Production-Ready ML Artifacts for NetworkingProceedings of the 2024 Applied Networking Research Workshop10.1145/3673422.3674898(100-102)Online publication date: 23-Jul-2024
https://dl.acm.org/doi/10.1145/3673422.3674898
Koukis GSkaperas SKapetanidou ITsaoussidis VMamatas L(2024)An Open-Source Experimentation Framework for the Edge Cloud ContinuumIEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)10.1109/INFOCOMWKSHPS61880.2024.10620846(01-07)Online publication date: 20-May-2024
https://doi.org/10.1109/INFOCOMWKSHPS61880.2024.10620846
Mamatas LSkaperas SSakellariou I(2024)ClusterSlice: A Zero-Touch Deployment Platform for the Edge Cloud Continuum2024 27th Conference on Innovation in Clouds, Internet and Networks (ICIN)10.1109/ICIN60470.2024.10494418(100-102)Online publication date: 11-Mar-2024
https://doi.org/10.1109/ICIN60470.2024.10494418
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Index Terms

EdgeNet: A Multi-Tenant and Multi-Provider Edge Cloud
1. Computer systems organization
  1. Architectures
    1. Distributed architectures

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Published In

cover image ACM Conferences

EdgeSys '21: Proceedings of the 4th International Workshop on Edge Systems, Analytics and Networking

April 2021

84 pages

ISBN:9781450382915

DOI:10.1145/3434770

General Chairs:
Aaron Ding
TU Delft, The Netherlands
,
Richard Mortier
University of Cambridge, UK

Copyright © 2021 ACM.

Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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SIGOPS: ACM Special Interest Group on Operating Systems

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 April 2021

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EuroSys '21

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SIGOPS

EuroSys '21: Sixteenth European Conference on Computer Systems

April 26, 2021

Online, United Kingdom

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Overall Acceptance Rate 10 of 23 submissions, 43%

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Twentieth European Conference on Computer Systems

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Cited By

Khan PGuthula SBeltiukov RSchmid RBühler TGupta AVanbever LWillinger W(2024)Harnessing Public Code Repositories to Develop Production-Ready ML Artifacts for NetworkingProceedings of the 2024 Applied Networking Research Workshop10.1145/3673422.3674898(100-102)Online publication date: 23-Jul-2024
https://dl.acm.org/doi/10.1145/3673422.3674898
Koukis GSkaperas SKapetanidou ITsaoussidis VMamatas L(2024)An Open-Source Experimentation Framework for the Edge Cloud ContinuumIEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)10.1109/INFOCOMWKSHPS61880.2024.10620846(01-07)Online publication date: 20-May-2024
https://doi.org/10.1109/INFOCOMWKSHPS61880.2024.10620846
Mamatas LSkaperas SSakellariou I(2024)ClusterSlice: A Zero-Touch Deployment Platform for the Edge Cloud Continuum2024 27th Conference on Innovation in Clouds, Internet and Networks (ICIN)10.1109/ICIN60470.2024.10494418(100-102)Online publication date: 11-Mar-2024
https://doi.org/10.1109/ICIN60470.2024.10494418
Habibi PLeon-Garcia A(2024)SliceSphere: Agile Service Orchestration and Management Framework for Cloud-Native Application SlicesIEEE Access10.1109/ACCESS.2024.349213812(169024-169049)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3492138
Korontanis IMakris ATserpes K(2024)EdgeCloud Mon: A lightweight monitoring stack for K3s clustersSoftwareX10.1016/j.softx.2024.10167526(101675)Online publication date: May-2024
https://doi.org/10.1016/j.softx.2024.101675
Mamatas LSkaperas SSakellariou I(2024)Clusterslice: Slicing resources for zero-touch Kubernetes-based experimentationFuture Generation Computer Systems10.1016/j.future.2024.06.038161(1-10)Online publication date: Dec-2024
https://doi.org/10.1016/j.future.2024.06.038
Cao LHuo TLi SZhang XChen YLin GWu FLing YZhou YXie Q(2024)Cost optimization in edge computing: a surveyArtificial Intelligence Review10.1007/s10462-024-10947-457:11Online publication date: 1-Oct-2024
https://doi.org/10.1007/s10462-024-10947-4
Olabanji DFitch TMatthew O(2023)Multi-tenancy in Cloud-native Architecture: A Systematic Mapping StudyWSEAS TRANSACTIONS ON COMPUTERS10.37394/23205.2023.22.422(25-43)Online publication date: 7-Mar-2023
https://doi.org/10.37394/23205.2023.22.4
Morcos MMatta I(2023)Inverse Response Time Ratio Scheduler: Optimizing Throughput and Response Time for Serverless Computing2023 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)10.1109/CloudCom59040.2023.00018(26-33)Online publication date: 4-Dec-2023
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Duan SWang DRen JLyu FZhang YWu HShen X(2023)Distributed Artificial Intelligence Empowered by End-Edge-Cloud Computing: A SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2022.321852725:1(591-624)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1109/COMST.2022.3218527
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