Open AccessAIOT-Arch: Furthering Artificial Intelligence in Big Data IoT Applications
Author(s) -
Sandra Said,
Rowan Ihab,
Ossama Hesham,
Islam Abou Tabl,
Nu Maged,
Sherin M. Youssef,
Mazen Nabil Elagamy
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1051/1/012008
Subject(s) - internet of things , cloud computing , computer science , big data , protocol (science) , data science , computer security , artificial intelligence , data mining , operating system , medicine , alternative medicine , pathology
Applications for the Internet of Things (IoT) have evolved in excessive numbers, producing a vast amount of data needed for intelligent processing. The varying IoT infrastructures such as cloud and IoT application layer protocol limitations in the transmission/receiving of messages become the barriers in the implementation of intelligent IoT apps. In this paper, we review the importance of Big data, cloud computing and fog computing in IoT and the challenges of using machine learning in IoT. Finally, we discuss the general statistics of using artificial intelligence in IoT applications.