Efficient Real-Time Decision Making Using Streaming Data Analytics in IoT Environment

Setting up and managing Internet of things environment possess challenges like capturing, storing, mining, and processing of massive high-speed data streams generated by various sensors and computing devices. In this paper, the focus is on decision support systems incorporating cloud infrastructure and streaming data analytics to provide efficient decision making at the point of care in smarter environments. It is best explained with the help of performing streaming data analytics over real-time smart environment setup to determine the factors for efficient water usage in the near real time.

[1]  Fei Tao,et al.  CCIoT-CMfg: Cloud Computing and Internet of Things-Based Cloud Manufacturing Service System , 2014, IEEE Transactions on Industrial Informatics.

[2]  P. Bagavathi Sivakumar,et al.  Design of IoT Systems and Analytics in the Context of Smart City Initiatives in India , 2016 .

[3]  Klaus Moessner,et al.  Predictive Analytics for Complex IoT Data Streams , 2017, IEEE Internet of Things Journal.

[4]  Houbing Song,et al.  Internet of Things and Big Data Analytics for Smart and Connected Communities , 2016, IEEE Access.

[5]  Eui-Nam Huh,et al.  Cloud of Things: Integrating Internet of Things and cloud computing and the issues involved , 2014, Proceedings of 2014 11th International Bhurban Conference on Applied Sciences & Technology (IBCAST) Islamabad, Pakistan, 14th - 18th January, 2014.

[6]  S. Sharad,et al.  A Novel IoT-Based Energy Management System for Large Scale Data Centers , 2015, e-Energy.

[7]  Sonali Agarwal,et al.  Stream Data Mining: Platforms, Algorithms, Performance Evaluators and Research Trends , 2016 .

[8]  Natalia Gusarova,et al.  Cerrera: In-stream data analytics cloud platform , 2015, 2015 Third International Conference on Digital Information, Networking, and Wireless Communications (DINWC).