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An Adaptive Architecture for Internet of Things Applications

An Adaptive Architecture for Internet of Things Applications

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Title: An Adaptive Architecture for Internet of Things Applications
Author: Ramprasad, Brian Annil
Abstract: The 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.
Subject: Information technology
Keywords: Quality of service (Computer networks)
Smart Testing
Type: Electronic Thesis or Dissertation
Rights: Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
URI: http://hdl.handle.net/10315/35891
Supervisor: Litoiu, Marin
Degree: MA - Master of Arts
Program: Information Systems and Technology
Exam date: 2018-12-05
Publish on: 2019-03-05

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