Design of Latency-Aware IoT Modules in Heterogeneous Fog-Cloud Computing Networks

作     者：Syed Rizwan Hassan Ishtiaq Ahmad Jamel Nebhen Ateeq Ur Rehman Muhammad Shafiq Jin-Ghoo Choi 

作者机构：Department of Electrical EngineeringThe University of LahoreLahore54000Pakistan College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharj11942Saudi Arabia Department of Electrical EngineeringGovernment College UniversityLahore54000Pakistan Department of Information and Communication EngineeringYeungnam UniversityGyeongsan38541Korea 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2022年第70卷第3期

页      面：6057-6072页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：This research was supported by the MSIT(Ministry of Science and ICT) Korea under the ITRC(Information Technology Research Center)support program(IITP-2021-2016-0-00313)supervised by the IITP(Institute for Information&Communications Technology Planning&Evaluation) 

主　　题：IoT fog-cloud computing architecture module placement latency sensitive application resource aware placement 

摘      要：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 ***,such applications cannot meet strict quality of service(QoS)*** large-scale deployment of IoT requires more effective use of network infrastructure to ensure QoS when processing big ***,cloud-centric IoT application deployment involves different modules running on terminal devices and cloud *** 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 *** addition,when there is an inconsistent connection delay between the fog and the terminal device,the deployment of such applications becomes more *** this article,we propose an algorithm that can effectively place application modules on network nodes while considering connection delay,processing power,and sensing data *** with traditional cloud computing deployment,we conducted simulations in iFogSim to confirm the effectiveness of the *** simulation results verify the effectiveness of the proposed algorithm in terms of end-to-end delay and network ***,latency and execution time is insensitive to the number of sensors.