A Compressed Technique to Optimize the Processing of Real Time Data in Centralized and Client-Server Data Base Systems

The processing of real time transaction is an important issue in present scenario. It depends on various constraints of architecture such as data size, bandwidth speed, network latency and machine configuration etc. The present paper proposes a mathematical model to improve in the response time in centralized and client-server paradigm. The work also shows the improvement through simulation done in MatLabR2014.