Optimizing Big Data Processing in Cloud by integrating versatile front end to Database Systems
Vamsi Krishna Myalapalli, Thirumala Padmakumar Totakura · 2015
The magnitude of data in the concurrent databases is exponentially escalating with respect to time. This advent conveys a challenge in the arena of performance, due to incessant data accumulation, manipulation, analyzing and processing massive volumes of data. The rising space among users and data, invokes inventive tool(s) for resolving the challenges tackled by velocity, volume and variety of Big Data. This paper introduces a novel and versatile Front End Module an Entry Control Module integrated to the Database System(s) in Cloud environments to minimize the impact on underlying database(s). In a nutshell this module aims at performance engineering at Database level, so that the saved band width could be used to process other requests arriving Database. Our experimental approaches and progression evinced that response time is reduced and bandwidth is preserved. Comprehensively, the impact on database(s) is/are minimized.