Fog Computing, Deep Learning and Big Data Analytics-Research Directions
This book provides a comprehensive picture of fog computing technology, including of fog architectures, latency aware application management issues with real time requirements, security and privacy issues and fog analytics, in wide ranging application scenarios such as M2M device communication, smar...
Main Author: | Prabhu, C.S.R. (Author, http://id.loc.gov/vocabulary/relators/aut) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Language: | English |
Published: |
Singapore :
Springer Singapore : Imprint: Springer,
2019.
|
Edition: | 1st ed. 2019. |
Subjects: | |
Online Access: | https://doi.org/10.1007/978-981-13-3209-8 |
Similar Items
-
Big Data Analytics: Systems, Algorithms, Applications by C.S.R. Prabhu, Aneesh Sreevallabh Chivukula, Aditya Mogadala, Rohit Ghosh, L.M. Jenila Livingston.
by: Prabhu, C.S.R., et al.
Published: (2019) -
Deep Learning: Convergence to Big Data Analytics by Murad Khan, Bilal Jan, Haleem Farman.
by: Khan, Murad., et al.
Published: (2019) -
Data Visualization Trends and Challenges Toward Multidisciplinary Perception / edited by S. Margret Anouncia, Hardik A. Gohel, Subbiah Vairamuthu.
Published: (2020) -
Big Data Application Architecture Q&A A Problem - Solution Approach / by Nitin Sawant, Himanshu Shah.
by: Sawant, Nitin., et al.
Published: (2013) -
Data Scientists at Work by Sebastian Gutierrez.
by: Gutierrez, Sebastian., et al.
Published: (2014)