MITSAT — An automated student attendance tracking system using Bluetooth and EyeOS

Abstract

This paper proposes a novel solution MITSAT (Madras Institute of Technology Student Attendance Tracking system). MITSAT provides automation of student attendance tracking using wireless technology such as Bluetooth and scalability using cloud computing. Current day student attendance tracking systems employed in universities require a lot of human intervention. Also its storage for future use consumes a lot of memory. The proposed work identifies the potential use of Bluetooth and EyeOS cloud computing platform to track students' attendance and to efficiently store and retrieve the same. The challenges associated with the state-of-the-art technologies for automation are data heterogeneity, availability, consistency and fault tolerance. The problem with Schema based SQL database is that it is not scalable horizontally and provides poor fault tolerance to partitions. The issue with the schema free NoSQL databases is that it can provide either availability and fault tolerance or consistency and fault tolerance but not all three features together. The proposed work addresses these challenges by combining schema based MySQL and schema free mongoDB databases. The proposed work provides a scalable solution for the bottleneck of storing metadata for small files in Hadoop using a novel correlation based archiving technique.