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http://hdl.handle.net/10125/71486
A Time-Sensitive IoT Data Analysis Framework
Item Summary
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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