Fog2Fog: Augmenting Scalability in Fog Computing for Health GIS Systems
Document Type
Conference Proceeding
Date of Original Version
8-14-2017
Abstract
This study considers the situation where computational loads are transferred to edge devices and single edge device is not enough. The co-operative sensing, analysis and transmission between several edge nodes helps in enhancing scalability in Fog computing frameworks. The present study uses the positive case of malaria vector borne disease affected information from 2001-2014 of Maharashtra state, India for performance analysis.
Publication Title, e.g., Journal
Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017
Citation/Publisher Attribution
Barik, Rabindra, Amir Dubey, Sapana Sasane, Chinmaya Misra, Nicholas Constant, and Kunal Mankodiya. "Fog2Fog: Augmenting Scalability in Fog Computing for Health GIS Systems." Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017 (2017): 241-242. doi: 10.1109/CHASE.2017.83.