Show simple item record

dc.contributor.advisorLitoiu, Marin
dc.creatorRamprasad, Brian Annil
dc.date.accessioned2019-03-05T14:56:40Z
dc.date.available2019-03-05T14:56:40Z
dc.date.copyright2018-12-05
dc.date.issued2019-03-05
dc.identifier.urihttp://hdl.handle.net/10315/35891
dc.description.abstractThe number of IoT devices has been growing exponentially as new products are being developed and legacy systems are becoming Internet enabled. As a consequence of this trend, the large amounts of traffic generated by IoT devices require new approaches to platform design and workload management. The primary challenge with managing IoT devices is that the traffic can be highly variable due to the type and the time of use. To be able to maintain quality of service standards on an IoT platform, these traffic patterns need to be modeled and understood so we can adapt the architecture dynamically. To address these challenges, we propose an adaptable architecture, a platform to emulate IoT devices, and a smart testing framework to detect bottlenecks that can predict the demand for computing resources. We show that in certain cases we can predict the demand for computing resources with a high degree of accuracy.
dc.language.isoen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectInformation technology
dc.subject.lcshInformation technology--Internet of things
dc.titleAn Adaptive Architecture for Internet of Things Applications
dc.typeElectronic Thesis or Dissertation
dc.degree.disciplineInformation Systems and Technology
dc.degree.nameMA - Master of Arts
dc.degree.levelMaster's
dc.date.updated2019-03-05T14:56:40Z
dc.subject.keywordsQuality of service (Computer networks)
dc.subject.keywordsSmart Testing


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record


All items in the YorkSpace institutional repository are protected by copyright, with all rights reserved except where explicitly noted.