Experimenting with a Fog-computing Architecture for Indoor Navigation

被引:4
|
作者
Battistoni, Pietro [1 ]
Sebillo, Monica [1 ]
Vitiello, Giuliana [1 ]
机构
[1] Univ Salerno, Dept Comp Sci, Salerno, Italy
关键词
Fog Computing; Mist Computing; Edge Computing; MQTT; Indoor Navigation System; ESP32;
D O I
10.1109/fmec.2019.8795307
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The present paper outlines the framework design of an Application Agnostic Architecture for Fog and Mist Computing systems. An analysis explains how the proposed architecture satisfies the primary characteristics of a Fog and Mist computing paradigm by using low power and low-cost components. It also introduces an Indoor Navigation System and a Notification service as a use-case, to assess the proposed framework as a Fog-Computing architecture while demonstrating how it can address Mobile and IoT challenges.
引用
收藏
页码:161 / 165
页数:5
相关论文
共 50 条
  • [1] A Fog-Computing architecture for Preventive Healthcare and Assisted Living in Smart Ambients
    Cerina, Luca
    Notargiacomo, Sara
    Greco, Matteo
    Paccani, Luca
    Santambrogio, Marco Domenico
    [J]. 2017 IEEE 3RD INTERNATIONAL FORUM ON RESEARCH AND TECHNOLOGIES FOR SOCIETY AND INDUSTRY (RTSI), 2017, : 404 - 409
  • [2] Indie Fog: An Efficient Fog-Computing Infrastructure for the Internet of Things
    Chang, Chii
    Srirama, Satish Narayana
    Buyya, Rajkumar
    [J]. COMPUTER, 2017, 50 (09) : 92 - 98
  • [3] Managing Anonymous Keys in a Fog-Computing Platform
    Schermann, Raphael
    Toegl, Ronald
    [J]. ARES 2021: 16TH INTERNATIONAL CONFERENCE ON AVAILABILITY, RELIABILITY AND SECURITY, 2021,
  • [4] A fog-computing architecture for network public opinion monitoring based on intelligent semantic recognition
    Xu, Jing
    [J]. INTERNET TECHNOLOGY LETTERS, 2023,
  • [5] The Fog-Computing Based Reliability Enhancement in the Robot Swarm
    Korovin, Iakov
    Melnik, Eduard
    Klimenko, Anna
    [J]. INTERACTIVE COLLABORATIVE ROBOTICS (ICR 2019), 2019, 11659 : 161 - 169
  • [6] The Technique of Data Analysis Tasks Distribution in the Fog-Computing Environment
    Melnik, E., V
    Klimenko, V. V.
    Klimenko, A. B.
    Korobkin, V. V.
    [J]. PROCEEDINGS OF THE FOURTH INTERNATIONAL SCIENTIFIC CONFERENCE INTELLIGENT INFORMATION TECHNOLOGIES FOR INDUSTRY (IITI'19), 2020, 1156 : 142 - 151
  • [7] Dynamic Load Balancing of RDF Reasoning in Fog-Computing Environments
    Kokubo, Yuma
    Amagasa, Toshiyuki
    [J]. 38TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, SAC 2023, 2023, : 683 - 690
  • [8] Task Distribution of Object Detection Algorithms in Fog-Computing Framework
    Nee, Sia Hee
    Nugroho, Hermawan
    [J]. 2020 18TH IEEE STUDENT CONFERENCE ON RESEARCH AND DEVELOPMENT (SCORED), 2020, : 391 - 395
  • [9] Smart Grids Monitoring: A fog-computing strategy to detect anomalies
    Diaz Redondo, Rebeca P.
    Fernandez Vilas, Ana
    [J]. 2018 IEEE 59TH INTERNATIONAL SCIENTIFIC CONFERENCE ON POWER AND ELECTRICAL ENGINEERING OF RIGA TECHNICAL UNIVERSITY (RTUCON), 2018,
  • [10] Fog-Computing Based Healthcare Framework for Predicting Encephalitis Outbreak
    Kumari, Sapna
    Bhatia, Munish
    Stea, Giovanni
    [J]. BIG DATA RESEARCH, 2022, 29