Big Data for Modelling Interactive Systems in IoT

The Internet of Things (IoT) ideates the flawless interconnection among the things and the webs. It delivers favorable possibilities to build powerful services and applications for the construction of a smart society, smart environment, smart city and more precisely a smart world. It enhances the connectivity to each device, effortless data transfer and provides expected services in time that lead to huge data flow in the system. To monitor, manage, organize and the storage purpose the concept of big data came into act. In the generation of IoT, every work is done automatically without human intervention, machine can sense the requirement with the help of highly active sensors and able to act accordingly, and one can control the things remotely without any due. The overall process generates the continuous generation of data in the system. 3vs i.e. Volume, Variety and Velocity of big data technology has the controlling authority to handle such large dataset. This paper surveys the utilities of big data in the field of various intelligent interactive systems (IISs) which includes real-time systems surveil, data management, optimization and prediction.