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A Time-Sensitive IoT Data Analysis Framework

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Title:A Time-Sensitive IoT Data Analysis Framework
Authors:Korala, Harindu
Georgakopoulos, Dimitrios
Jayaraman, Prem Prakash
Yavari, Ali
Keywords:Smart (City) Application Development: Challenges and Experiences
distributed iot data analysis
iot
smart city applications
time-sensitive data analysis
Date Issued:05 Jan 2021
Abstract:This paper proposes a Time-Sensitive IoT Data Analysis (TIDA) framework that meets the time-bound requirements of time-sensitive IoT applications. The proposed framework includes a novel task sizing and dynamic distribution technique that performs the following: 1) measures the computing and network resources required by the data analysis tasks of a time-sensitive IoT application when executed on available IoT devices, edge computers and cloud, and 2) distributes the data analysis tasks in a way that it meets the time-bound requirement of the IoT application. The TIDA framework includes a TIDA platform that implements the above techniques using Microsoft’s Orleans framework. The paper also presents an experimental evaluation that validates the TIDA framework’s ability to meet the time-bound requirements of IoT applications in the smart cities domain. Evaluation results show that TIDA outperforms traditional cloud-based IoT data processing approaches in meeting IoT application time-bounds and reduces the total IoT data analysis execution time by 46.96%.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/71486
ISBN:978-0-9981331-4-0
DOI:10.24251/HICSS.2021.865
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Smart (City) Application Development: Challenges and Experiences


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