TY - GEN
T1 - Distributing the Cloud into Fog and Edge
T2 - 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, ICMISC 2021
AU - Naveen, Soumyalatha
AU - Kounte, Manjunath R.
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - Rapid advancement in communication technologies, electronic hardware and software has resulted in emergence of new era of interconnection of smart devices called Internet of Things (IoT). The smart devices generate huge volume of data continuously which constitutes big data. In this paper we highlighted the factors which are contributing to exponential growth of IoT over the years, followed by layered architecture and significance of each layer. Fog computing is used in specific time-stringent non-delay tolerable IoT applications to minimize the bandwidth and latency by pushing the intelligence from cloud to the end devices. Through intelligent data processing algorithms valuable insight from the data are collected. This article provides recent trends in the emerging domains of IoT, artificial intelligence and deep learning framework for designing IoT applications. We have also summarized the application based suitable computing paradigm to further design the modern IoT applications.
AB - Rapid advancement in communication technologies, electronic hardware and software has resulted in emergence of new era of interconnection of smart devices called Internet of Things (IoT). The smart devices generate huge volume of data continuously which constitutes big data. In this paper we highlighted the factors which are contributing to exponential growth of IoT over the years, followed by layered architecture and significance of each layer. Fog computing is used in specific time-stringent non-delay tolerable IoT applications to minimize the bandwidth and latency by pushing the intelligence from cloud to the end devices. Through intelligent data processing algorithms valuable insight from the data are collected. This article provides recent trends in the emerging domains of IoT, artificial intelligence and deep learning framework for designing IoT applications. We have also summarized the application based suitable computing paradigm to further design the modern IoT applications.
UR - https://www.scopus.com/pages/publications/85123598164
UR - https://www.scopus.com/pages/publications/85123598164#tab=citedBy
U2 - 10.1007/978-981-16-6407-6_64
DO - 10.1007/978-981-16-6407-6_64
M3 - Conference contribution
AN - SCOPUS:85123598164
SN - 9789811664069
T3 - Lecture Notes in Networks and Systems
SP - 749
EP - 758
BT - Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications - ICMISC 2021
A2 - Gunjan, Vinit Kumar
A2 - Zurada, Jacek M.
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 28 March 2021 through 29 March 2021
ER -