Adaptive configuration of IoT applications in the fog infrastructure

被引:0
作者
Houda Chouat
Imed Abbassi
Mohamed Graiet
Mario Südholt
机构
[1] University of Sousse,
[2] ISITCom,undefined
[3] University of Tunis El Manar,undefined
[4] LR-OASIS,undefined
[5] STACK Team,undefined
[6] IMT Atlantique,undefined
[7] Inria,undefined
[8] LS2N,undefined
来源
Computing | 2023年 / 105卷
关键词
Fog computing; IoT applications; Service composition; Configuration; 35A01; 65L10; 65L12; 65L20; 65L70;
D O I
暂无
中图分类号
学科分类号
摘要
Internet of Things (IoT) applications have invaded several domains (supply chain, healthcare, etc.). To enhance the quality of the provided service in terms of latency, response time, etc., service providers such as Amazon, Google, and Microsoft turned to running IoT tasks near the end user by invoking the fog computing concept. Fog computing extends cloud services to the edge of the network. It provides a variety of computing resources in the form of fog nodes, which offer multiple services known as fog services. These latter are used to store and process the data generated by IoT devices. Fog services are characterized by their high reusability. It enables the construction of a composite service to provide complicated IoT tasks. In this paper, we introduce an adaptive requirements-aware approach for configuring IoT applications in fog computing. The configuration is based on a Composite Fog Service (CFS) model and is restricted by a set of constraints. The proposed approach is implemented in a Smart Car Parking (SCP) scenario. Simulation results reveal the effectiveness of our approach.
引用
收藏
页码:2747 / 2772
页数:25
相关论文
共 50 条
  • [41] Network Usage and Time Efficient Performance Enhancement Model for IoT Applications in Fog Cloud Computing
    Arora, Upma
    Singh, Nipur
    INTERNATIONAL JOURNAL OF MATHEMATICAL ENGINEERING AND MANAGEMENT SCIENCES, 2025, 10 (02) : 506 - 521
  • [42] Advancements in heuristic task scheduling for IoT applications in fog-cloud computing: challenges and prospects
    Alsadie, Deafallah
    PEERJ COMPUTER SCIENCE, 2024, 10
  • [43] QoS-Aware Fog Node Placement for Intensive IoT Applications in SDN-Fog Scenarios
    Herrera, Juan Luis
    Galan-Jimenez, Jaime
    Foschini, Luca
    Bellavista, Paolo
    Berrocal, Javier
    Murillo, Juan M.
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (15) : 13725 - 13739
  • [44] Secure framework for IoT applications using Deep Learning in fog Computing
    Chakraborty, Ananya
    Kumar, Mohit
    Chaurasia, Nisha
    JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 2023, 77
  • [45] Quantumized approach of load scheduling in fog computing environment for IoT applications
    Bhatia, Munish
    Sood, Sandeep K.
    Kaur, Simranpreet
    COMPUTING, 2020, 102 (05) : 1097 - 1115
  • [46] A demo of a PaaS for IoT Applications Provisioning in Hybrid Cloud/Fog Environment
    Bibani, Ons
    Yangui, Sami
    Glitho, Roch H.
    Gaaloul, Walid
    Ben Hadj-Alouane, Nejib
    Morrow, Monique J.
    Polakos, Paul A.
    2016 22ND IEEE INTERNATIONAL SYMPOSIUM ON LOCAL AND METROPOLITAN AREA NETWORKS (IEEE LANMAN), 2016,
  • [47] Quantumized approach of load scheduling in fog computing environment for IoT applications
    Munish Bhatia
    Sandeep K. Sood
    Simranpreet Kaur
    Computing, 2020, 102 : 1097 - 1115
  • [48] Anomaly Behavior Analysis for Fog Nodes Availability Assurance in IoT Applications
    Pacheco, Jesus
    Benitez, Victor H.
    Tunc, Cihan
    Grijalva, Clarisa
    2019 IEEE/ACS 16TH INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA 2019), 2019,
  • [49] AdaInNet: an adaptive inference engine for distributed deep neural networks offloading in IoT-FOG applications based on reinforcement learning
    Etefaghi, Amir
    Sharifian, Saeed
    JOURNAL OF SUPERCOMPUTING, 2023, 79 (02) : 1592 - 1621
  • [50] AdaInNet: an adaptive inference engine for distributed deep neural networks offloading in IoT-FOG applications based on reinforcement learning
    Amir Etefaghi
    Saeed Sharifian
    The Journal of Supercomputing, 2023, 79 : 1592 - 1621