Machine Learning Approach for Cloud Data Analytics in IoT

10Smart Environment Monitoring Models Using Cloud-Based Data Analytics: A Comprehensive Study

Pradnya S. Borkar and Reena Thakur^*

Department of Computer Science and Engineering, Jhulelal Institute of Technology, Nagpur, India

Abstract

The idea of the Internet of Things (IoT) has emerged in recent years and is growing rapidly. The main aim is to connect real-world things over the cloud to the Internet. The various real-time applications such as farming, weather forecasting uses rain, temperature, moisture, and loam sensors which are connected to an Internet. Thus, various kinds of information such as temperature, moisture, humidity, and rain can be processed later by using data analytics method to identify these and make effective decisions and approaches for monitoring smart environment. Similarly, traders of online shopping uses online data collected through various online shopping clouds through servers to analyze which product is to be more in demand, etc. The reflective transformation in economical system shall be possible in coming years through cloud-based data analytics which can be said as reliable, sustainable, and robust system. The transformation of modernization can only be achieved with persistent usage of information technologies and communication technologies to manage as well as integrate this complete system. Therefore, by providing parallel processing of data and distributed data storage, cloud computing has been envisaged as an emerging technology of making ...