Fog Computing: The Cloud-IoT/IoE Middleware Paradigm

被引：133
|
作者：
Aazam M. [1 ]
Huh E.-N. [2 ]
机构：
[1] Department of Systems and Computer Engineering, Carleton University, Ottawa, ON
[2] School of Computer Engineering, Kyung Hee University, Realtime Mobile Cloud Research Center, Internet Society Asia-Pacific Advanced Network
来源：
IEEE Potentials | 2016年 / 35卷 / 03期
关键词：
Compendex;
D O I：
10.1109/MPOT.2015.2456213
中图分类号：
学科分类号：
摘要：
The Internet of Things (IoT) is a technological revolution that represents the future of connectivity and reachability. In the IoT, things refer to any object on the face of the Earth, whether it is a communicating device or a noncommunicating "dumb" object. From a smart device to a leaf of a tree or a beverage bottle, anything can be part of the Internet. The objects become communicating nodes over the Internet through data communication means, primarily through radio frequency identification (RFID) tags. The IoT includes smart objects as well. Smart objects are digital, physical entities, which perform some tasks for humans and/or the environment. This is why the IoT is not only a hardware and software paradigm but also includes interaction and social aspects. © 2016 IEEE.
引用
收藏
页码：40 / 44
页数：4
相关论文
共 50 条
  • [31] An Integrated Framework for Smart Earthquake Prediction: IoT, Fog, and Cloud Computing
    Kanika Saini
    Sheetal Kalra
    Sandeep K. Sood
    Journal of Grid Computing, 2022, 20
  • [32] IoT big data analytics for smart homes with fog and cloud computing
    Yassine, Abdulsalam
    Singh, Shailendra
    Hossain, M. Shamim
    Muhammad, Ghulam
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 91 : 563 - 573
  • [33] An Efficient Clustering and Deep Learning Based Resource Scheduling for Edge Computing to Integrate Cloud-IoT
    Vijayasekaran, G.
    Duraipandian, M.
    WIRELESS PERSONAL COMMUNICATIONS, 2022, 124 (03) : 2029 - 2044
  • [34] An Integrated Framework for Smart Earthquake Prediction: IoT, Fog, and Cloud Computing
    Saini, Kanika
    Kalra, Sheetal
    Sood, Sandeep K.
    JOURNAL OF GRID COMPUTING, 2022, 20 (02)
  • [35] Serverless data pipeline approaches for IoT data in fog and cloud computing
    Poojara, Shivananda R.
    Dehury, Chinmaya Kumar
    Jakovits, Pelle
    Srirama, Satish Narayana
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2022, 130 : 91 - 105
  • [36] An Efficient Clustering and Deep Learning Based Resource Scheduling for Edge Computing to Integrate Cloud-IoT
    G. Vijayasekaran
    M. Duraipandian
    Wireless Personal Communications, 2022, 124 : 2029 - 2044
  • [37] Foundations and Evolution of Modern Computing Paradigms: Cloud, IoT, Edge, and Fog
    De Donno, Michele
    Tange, Koen
    Dragoni, Nicola
    IEEE ACCESS, 2019, 7 : 150936 - 150948
  • [38] Big Data Analytics with Fog Computing in integrated Cloud Fog and IoT Architecture for Smart Devices
    Ahmad, Sultan
    Afzal, Mohammad Mazhar
    ALharbi, Abdullah
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2020, 20 (06): : 171 - 177
  • [39] A Robust and Flexible Access Control Scheme for Cloud-IoT Paradigm with Application to Remote Mobile Medical Monitoring
    Ren, Wei
    Ren, Yi
    Wu, Mu-En
    Lee, Chia-Jung
    2015 THIRD INTERNATIONAL CONFERENCE ON ROBOT, VISION AND SIGNAL PROCESSING (RVSP), 2015, : 130 - 133
  • [40] Cloud-IoT Platform with Permissioned Private Blockchain Integration
    El Maaradi, Ayoub
    Lyhyaoui, Abdelouahid
    ADVANCED INTELLIGENT SYSTEMS FOR SUSTAINABLE DEVELOPMENT (AI2SD'2020), VOL 2, 2022, 1418 : 1169 - 1177
12345