Context Aware Information Classification in Fog Computing

Fog computing is a recent trend in networking where it is acting as a middleware between networking end devices / sensors and cloud computing. The fog computing is a solution to Iatency problem in the networks,which are connected to cloud computing. The fog computing computes, networks, compresses and provides the security to the information so that only essential information is stored in the cloud server and it can beeasilyaccessible to users. In this paper we are proposing a new concept inside the fogging. Instead of considering the huge amount of sensory data into fog for computation, only the required amount of information is called for computation and further process by the inclusion of context aware information classifier. The proposal further enhances the features of fog computing along with further minimizing the Iatency issue by considering K-NN & ID3 classifiers and making effective connectivity between sensors and clouds server.