Vol.70, No.3, 2022, pp.6057-6072, doi:10.32604/cmc.2022.020428
OPEN ACCESS
ARTICLE
Design of Latency-Aware IoT Modules in Heterogeneous Fog-Cloud Computing Networks
  • Syed Rizwan Hassan1, Ishtiaq Ahmad1, Jamel Nebhen2, Ateeq Ur Rehman3, Muhammad Shafiq4, Jin-Ghoo Choi4,*
1 Department of Electrical Engineering, The University of Lahore, Lahore, 54000, Pakistan
2 College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, 11942, Saudi Arabia
3 Department of Electrical Engineering, Government College University, Lahore, 54000, Pakistan
4 Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, 38541, Korea
* Corresponding Author: Jin-Ghoo Choi. Email:
Received 24 May 2021; Accepted 10 August 2021; Issue published 11 October 2021
Abstract
The modern paradigm of the Internet of Things (IoT) has led to a significant increase in demand for latency-sensitive applications in Fog-based cloud computing. However, such applications cannot meet strict quality of service (QoS) requirements. The large-scale deployment of IoT requires more effective use of network infrastructure to ensure QoS when processing big data. Generally, cloud-centric IoT application deployment involves different modules running on terminal devices and cloud servers. Fog devices with different computing capabilities must process the data generated by the end device, so deploying latency-sensitive applications in a heterogeneous fog computing environment is a difficult task. In addition, when there is an inconsistent connection delay between the fog and the terminal device, the deployment of such applications becomes more complicated. In this article, we propose an algorithm that can effectively place application modules on network nodes while considering connection delay, processing power, and sensing data volume. Compared with traditional cloud computing deployment, we conducted simulations in iFogSim to confirm the effectiveness of the algorithm. The simulation results verify the effectiveness of the proposed algorithm in terms of end-to-end delay and network consumption. Therein, latency and execution time is insensitive to the number of sensors.
Keywords
IoT; fog-cloud computing architecture; module placement; latency sensitive; application; resource aware placement
Cite This Article
Hassan, S. R., Ahmad, I., Nebhen, J., Rehman, A. U., Shafiq, M. et al. (2022). Design of Latency-Aware IoT Modules in Heterogeneous Fog-Cloud Computing Networks. CMC-Computers, Materials & Continua, 70(3), 6057–6072.
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