期刊名称：International Journal of Database Management Systems
印刷版ISSN：0975-5985
电子版ISSN：0975-5705
出版年度：2013
卷号：5
期号：4
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Globally accessed databases are having massive number of transactions and database size also been increased as MBs and GBs on daily basis. Handling huge volume of data's in real time environment are big challenges in the world. Global domain providers like banking, insurance, finance, railway, and many other government sectors are having massive number of transactions. Generally global providers are used to take the backup of their sensitive data's multiple times in a day, also many of the providers used to take the data backup once in few hours as well. Implementing backup often for huge size of databases without losing 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 optimize and enhance the process for compress the real time database and implement backup of the database in multiple devices using parallel way. Our proposed efficient algorithms provides the solution to compress the real time databases more effectively and improve the speed of backup and restore operations
