Fog2Fog: Augmenting Scalability in Fog Computing for Health GIS Systems

被引：19

作者：

Barik, Rabindra ^{[1
]}

Dubey, Harishchandra ^{[2
]}

Sasane, Sapana ^{[3
]}

Misra, Chinmaya ^{[1
]}

Constant, Nicholas ^{[4
]}

Mankodiya, Kunal ^{[4
]}

机构：

[1] KIIT Univ, Bhubaneswar, Odisha, India

[2] UT Dallas, Dallas, TX USA

[3] Univ Pune, Pune, Maharashtra, India

[4] Univ Rhode Isl, Kingston, RI 02881 USA

来源：

2017 IEEE/ACM SECOND INTERNATIONAL CONFERENCE ON CONNECTED HEALTH - APPLICATIONS, SYSTEMS AND ENGINEERING TECHNOLOGIES (CHASE) | 2017年

关键词：

D O I：

10.1109/CHASE.2017.83

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：241 / 242

页数：2