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dc.contributor.authorSmedsrud, Kim
dc.date.accessioned2020-11-02T23:45:39Z
dc.date.available2020-11-02T23:45:39Z
dc.date.issued2020
dc.identifier.citationSmedsrud, Kim. Proximity-as-a-Service. Master thesis, University of Oslo, 2020
dc.identifier.urihttp://hdl.handle.net/10852/80801
dc.description.abstractWe live in a society that is becoming increasingly digitized. Cloud computing is more popular than ever, and digital extensions appear everywhere. Over the past decade IoT and edge computing have emerged with smartwatches, cars, and all sorts of devices and applications requiring faster response time. CDN and PoPs are still able to meet latency requirements for most applications, but for real-time interaction, milliseconds are of essence. Many applications only need the computing power, and not data storing, like gaming for example. In this thesis we assume the perspective of the ISP in order to improve customer QoS as well as opening new venues for revenue. We investigate how we can use recent technologies to enable/facilitate edge computing at hubs and nodes to increase user experience and proximity. We have developed an independent model and a prototype which achieves to simplify the ISP infrastructure. This model has been used to create three distribution strategies that easily can deploy the desired number of containers. In order to create a sellable product the ISP can offer to content providers and other parts of the digital entertainment industry, we apply the "pay as you go" price model. Essential results form this project is that the scale of a complex deployment has successfully been abstracted away.eng
dc.language.isoeng
dc.subjectsystem administration
dc.subjectoperations
dc.subjectcloud architecture
dc.subjectproximity-as-a-service
dc.subjectISP
dc.subjectContainers
dc.subjectcloud computing
dc.subjectEdge-computing
dc.titleProximity-as-a-Serviceeng
dc.typeMaster thesis
dc.date.updated2020-11-02T23:45:39Z
dc.creator.authorSmedsrud, Kim
dc.identifier.urnURN:NBN:no-83889
dc.type.documentMasteroppgave
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/80801/1/Kim_Smedsrud_NSA_master_thesis_2020-Final.pdf


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