Muthukumar Murugesan¹ and T Ravichandran², ¹Karpagam University, India and ²Hindusthan Institute of Technology, India

Real time databases are processing millions and billions of records on daily basis. Handling huge volume of data’s in real time environment are big challenges in the world. Global domain providers will have a massive number of transactions on day-by-day. Such a domain database will be grown GBs and TBs of data during daily activities. Traditional compression methods are progressively more difficult to dealing with very large databases. In this paper, we provide the solution to how to optimize and enhance the process for compress the real time database and achieve better performance than conventional database systems. This research will provides a solution to compress the real time databases more effectively, reduce the storage requirements, costs and increase the speed of backup. The compression of database systems for real time environment is developed with our proposed Iterative Length Compression (ILC) algorithm.

Database compression, Database decompression, Backup optimization, Real-time database