Published Paper Details:

In the world of IT, end user data is considered to be the base of everything. Huge amount of data is added everyday into the system and a far greater amount of data is being modified every second. Everyone expects that the storing of that data should be on the go and that their data should be safe and secure. While keeping the data secure, the procurement of the same should be seamless and fast. To serve this purpose, one of the, dominant and reliable, technologies of the 20th century has been provided by one of the many products of Amazon Web Services by the name of Simple Storage Service (hereafter referred to as S3) which can store and retrieve huge amount of data from any form of application, be it web based or mobile, at an incredible speed. The data stored in S3 uses a flat file system which is easy to understand and implement. However, there are some drawback for the same when the size of the database increases. The proposed methodology targets few of the limitations of the flat file system of AWS S3 and provides a solution in the form of directory structure which on implementation can result in more security and can tackle inconsistency even for huge databases.