Paper Info
Title
Performance Analysis of Two Cloud-Based IoT Implementations: Empirical Study
Abstract
The emergence of the Internet of things (IoT) has generated demand for computation performed at the ‘edge’ of the network. With companies being increasingly challenged to collect and send data collected from IoT devices to the cloud, this increases the need for fog computing. There is also a persistent need to measure the performance of the IoT-Cloud environment while collecting and processing the massive amounts of data arriving from IoT devices. In this paper, we present two cloud-based IoT environments that use the Amazon Web Services (AWS) IoT service and discuss their performance. First, we describe the two implementations and the key design decisions. Second, we use nine AWS CloudWatch metrics to show and compare the performance of the two implementations. This work aims to pave the road for a follow-up study on how encryption-based access control would affect the performance of cloud-based IoT environments in order to provide practical solutions.
Year
DOI
Venue
2020
10.1109/CSCloud-EdgeCom49738.2020.00055
2020 7th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2020 6th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom)
Keywords
DocType
ISBN
edge computing,fog computing,performance measurement,benchmark,performance methodologies,IoT
Conference
978-1-7281-6551-6
Citations 
PageRank 
References 
0
0.34
5
Authors
4
Name
Order
Citations
PageRank
Mohammed A. Aleisa100.34
Abdullah Abuhussein2154.47
Faisal Alsubaei300.68
Frederick Sheldon48616.46