Evaluate Database Compression Performance and Parallel Backup

Abstract

Globally accessed databases are having massive number of transactions and database size also beenincreased as MBs and GBs on daily basis. Handling huge volume of data’s in real time environment are bigchallenges in the world. Global domain providers like banking, insurance, finance, railway, and manyother government sectors are having massive number of transactions. Generally global providers are usedto take the backup of their sensitive data’s multiple times in a day, also many of the providers used to takethe data backup once in few hours as well. Implementing backup often for huge size of databases withoutlosing single bit of data is a susceptible problem and challengeable task.This research addresses the difficulties of the above problems and provides the solution to how to optimizeand enhance the process for compress the real time database and implement backup of the database inmultiple devices using parallel way. Our proposed efficient algorithms provides the solution to compressthe real time databases more effectively and improve the speed of backup and restore operations