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首页> 外文期刊>International Journal of Database Management Systems >Evaluate Database Compression Performance and Parallel Backup
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Evaluate Database Compression Performance and Parallel Backup

机译：评估数据库压缩性能和并行备份

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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
机译：全球访问的数据库具有大量事务，并且数据库的大小也随着每日MB和GB的增加而增加。在实时环境中处理大量数据是世界上的巨大挑战。银行，保险，金融，铁路和许多其他政府部门等全球域名提供商正在进行大量交易。通常，全球提供商通常每天要多次备份其敏感数据，许多提供商也经常在几小时内进行一次数据备份。通常为庞大的数据库实施备份而又不丢失任何一点数据是一个易受攻击的问题，也是一项艰巨的任务。本研究解决了上述问题的难点，为如何优化和增强实时数据库的压缩过程以及并行实现多台设备的数据库备份提供了解决方案。我们提出的高效算法提供了更有效地压缩实时数据库并提高备份和还原操作速度的解决方案

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