Enhanced Framework for IoT Applications on Python Based Cloud Simulator (PCS)

As innovation develops, more human-made devices are able to communicate with each other by means of Internet. This enables the Internet of Things (IoT) era to emerge. The amount of information generated by IoT applications can overpower computer infrastructures which are not prepared for such a huge data hence they need more CPU cycles. Distributed computing offers a solution at infrastructure level that eases such problems by offering highly scalable computing platforms. This necessitates arranging the framework on demand to meet invariant changes which applications require, in a pay-per-use mode. Current methodologies empowering IoT applications are area specific or concentrate just on communication between devices, therefore they can not be effectively deployed to different domains. To address this issue, in this paper, we present a data centric framework for advancement of IoT applications executed in python based cloud simulator. The framework handles association with information sources, information filtering and use of cloud resources including provisioning, load balancing, and planning thus enabling developers to concentrate on the application logic and encouraging the advancement of loT applications.