IoT Infrastructure: Fog Computing Surpasses Cloud Computing

Abstract

The Internet of Things can be defined as an expansion of Internet network further off conventional gadgets like computers, smart phones, and tablets to an assorted scope of gadgets and ordinary things that use embedded technology to communicate with the outer environment, all by means of the Internet. With the increasing time, data access and computing are proceeding towards more complications and hurdles requiring more efficient and logical data computation infrastructures but the vision of future IoT seems foggy as it is a matter of concern that our current infrastructure may not be able to handle large amount of data efficiently involving growing number of IoT devices. To get diminished from this issue, Fog computing has been introduced which is an expansion of cloud computing working as a decentralized infrastructure in which reserving or computing data, service, and applications are distributed in the most efficient and logical position between source and the cloud. In this paper, the current infrastructure has been depicted and proposed another model of IoT infrastructure to surpass the difficulties of the existing infrastructure, which will be a coordinated effort of Fog computing amalgamation with Machine-to-Machine (M2M) intelligent communication protocol followed by incorporation of Service-Oriented Architecture (SOA) and finally integration of agent-based SOA. This model will have the capacity to exchange data by breaking down dependably and methodically with low latency, less bandwidth, heterogeneity in less measure of time maintaining the Quality of Service (QoS) precisely.