Study of different IoT based cloud services using a raspberry pi application.

It is believed that by the 2020 there will be about 20 billion connected devices which is 3 times more than human population in the world. These devices will be connected to each other using the internet protocols which are a set of standard protocols. This has led to the rise of the buzzword Internet of things or IoT. The growing no of devices means the data too grows rapidly. The collection, management and analysis of this data is the major challenge in IoT. The data is the most valuable asset which needs to be filtered and modified to get the correct results. An IoT setup may have a number of sensor networks and data is generated real time, as the number of sensors grow managing it individually becomes difficult also the data analysis and storage requires huge resources. This meant that the data needs to be analysed and processed in the clouds for managing costs. Having sighted this opportunity major cloud companies like Amazon, IBM and Microsoft have come up with their own IoT based suites to manage data generated by IoT devices. Amazon introduced AWS IoT and IBM introduced IBM Watson. This paper aims at studying these suites and comparing and contrasting the services offered by them using a raspberry pi based application called weather station. The application will use a temperature and humidity sensor to sense data and the management and processing of the data will be done at the cloud suites.