Service Based FOG Computing Model for IoT

Abstract

The more we are heading towards the future with ever-growing number of IoT devices which is expected to take place in a giant number almost near trillions by 2020, the data access and computing are proceeding towards more complications and impediments requiring more efficient and logical data computation infrastructures. Cloud computing is a centralized Internet based computing model which acts like a storage as well as a network connection bridge between end devices and servers. Cloud computing has been ruling as a data computation model for quite a while but if we try to concentrate on the upcoming IoT generation, the vision will become a little bit blurry as it is not possible for the present cloud computing models to deal with such huge amount of data and to rescue from this foggy situation, Fog computing model comes forward. Instead of being a replacement of the cloud computing model, Fog computing model is an extension of Cloud which works as a distributed decentralized computing infrastructure in which data compute, storage and applications are distributed in the most logical, efficient place between the data source and the cloud. In this paper, we proposed an infrastructure with collaboration of Fog computing combined with Machine-to-Machine(M2M) intelligent communication protocol followed by integration of the Service Oriented Architecture(SOA) and this model will be able to transfer data by analyzing reliably and systematically with low latency, less bandwidth, heterogeneity in less amount of time maintaining the Quality of Service(QoS) befittingly.