Distributed Big Data Analytics in Service Computing

被引：3

作者：

Yu, Weider D. ^{[1
]}

Gottumukkala, AvinashChander ^{[1
]}

Senthailselvi, Deenash Arivazhagan ^{[1
]}

Maniraj, Prabhu ^{[1
]}

Khonde, Tushar ^{[1
]}

机构：

[1] San Jose State Univ, Dept Comp Engn, One Washington Sq, San Jose Silicon Valley, CA 95192 USA

来源：

2017 IEEE 13TH INTERNATIONAL SYMPOSIUM ON AUTONOMOUS DECENTRALIZED SYSTEMS (ISADS 2017) | 2017年

关键词：

healthcare; service computing; big data analytics; cloud technology;

D O I：

10.1109/ISADS.2017.17

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Service computing has become very popular nowadays in providing big data analytics. The proposed system deals with how to implement software as a service product for a healthcare domain. Healthcare data has its sources mainly from Electronic health records (EHR), Mobile health applications, wireless medical devices and also wearable devices that can track patient activity. This huge volume of data needs to be processed and manipulated in a more useful manner. There are many challenges in implementing a cloud-based product for healthcare; first and foremost, the problem is security on the critical and confidential data stored in a cloud. This paper will focus on the technologies and concepts that support the implementation of cloud-based software application to store, analyze and visualize healthcare data on the cloud.

引用

页码：55 / 60

页数：6