Scientific Study from the year 2016 in the subject Computer Science - Applied, , language: English, abstract: In this work, we have taken our first step by creating new SC (Smart Computing) Prototype based on the ARM architecture which also solves the current issues like complex problems on the large data sets. The proposed system way also support the task oriented system and it will focus on the data loads which are the main issue of the HPC and other Cloud based DFS systems. This smart architecture works on the low powered ARM based chip (Raspberry pi) to reduce the power consumption, highly portable and it works along with the Hadoop Framework to support fault tolerance, data availability and easy computation in working with the large data set. For supporting those we are adopting various technical and technologies with revolutionary methods listed below. We are living in the era where data is more important in deciding the future systems and its size grows every day. The scientists and other users who work on the complex problems perform daily operation with this large data set. The Industries around the world are facing tremendous pressure to deliver their product matching with their competitive brands. For achieving those targets they are putting lot of efforts on improvising their methods and technology. In this dynamic environment they are in need to monitor and control those things in various manners. Finally they are placing various factories to identify and dig those quality and profit from various analytic methods. Which is strengthening by the things called integration and finding of cyber physical system. This large data set creates huge load to the server. Even the super computer encounters difficulty when it involves large data set: especially if the data are distributed across the network. These problems step into to the creation of BigData to find the values of business from multiple dimensions and providing the platform for industrial informatics.