EdgeNet: A Global Cloud That Spreads by Local Action
| Autor: | Justin Cappos, Rick McGeer, Glenn Ricart, Albert Rafetseder, Matthew Hemmings |
|---|---|
| Přispěvatelé: | NYU Tandon School of Engineering, US Ignite |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Overlay Network
Service (systems architecture) Computer science business.industry Distributed computing Node (networking) Overlay network 020206 networking & telecommunications Cloud computing 02 engineering and technology [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] PlanetLab Software deployment Distributed Systems 020204 information systems Edge Cloud 0202 electrical engineering electronic engineering information engineering Point of presence business Bespoke |
| Zdroj: | 2018 IEEE/ACM Symposium on Edge Computing (SEC) 2018 IEEE/ACM Symposium on Edge Computing (SEC), Oct 2018, Seattle, United States. pp.359-360, ⟨10.1109/SEC.2018.00045⟩ SEC |
| DOI: | 10.1109/SEC.2018.00045⟩ |
| Popis: | International audience; EdgeNet has been informed by the advances of cloud computing and the successes of such distributed systems as PlanetLab, GENI, G-Lab, SAVI, and V-Node: a large number of small points-of-presence, designed for the deployment of highly distributed experiments and applications. EdgeNet differs from its predecessors in two significant areas: first, it is a software-only infrastructure, where each worker node is designed to run part-or full-time on existing hardware at the local site; and, second, it uses modern, industry-standard software both as the node agent and the control framework. The first innovation permits rapid and unlimited scaling: whereas GENI and PlanetLab required the installation and maintenance of dedicated hardware at each site, EdgeNet requires only a software download, and a node can be added to the EdgeNet infrastructure in 15 minutes. The second offers performance, maintenance, and training benefits; rather than maintaining bespoke kernels and control frameworks, and developing training materials on using the latter, we are able to ride the wave of open-source and industry development, and the plethora of industry and community tutorial materials developed for industry standard control frameworks. The result is a global Kubernetes cluster, where pods of Docker containers form the service instances at each point of presence. |
| Databáze: | OpenAIRE |
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