The time machine in NoSQL

Chia Ping Tsai, Hung Chang Hsiao, Yu Chang Chao, Cheng Lung Chu, Yeh Ching Chung

研究成果: Conference contribution

摘要

Not Only SQL (NoSQL) is a recent technology that is scalable and provides flexible schemas, thereby complementing existing relational database technologies. Although NoSQL is flourishing, present solutions lack the features required by enterprises for critical missions. In this paper, we explore solutions to the data recovery issue in NoSQL. Data recovery for any database table entails restoring the table to a prior state or replaying (insert/update) operations over the table given a time period in the past. Recovery of NoSQL database tables enables applications such as failure recovery, analysis for historical data, debugging, and auditing. In this paper, we firstly present two solutions to address the data recovery problem in NoSQL; each solution has its pros and cons. We implement our proposals based on Apache HBase, a popular NoSQL database in the Hadoop ecosystem. Our implementations are extensively benchmarked with an industrial NoSQL benchmark under real environments.

原文English
主出版物標題Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014
編輯William Cheng-Chung Chu, Stephen Jenn-Hwa Yang, Han-Chieh Chao
發行者IOS Press
頁面1317-1326
頁數10
ISBN(電子)9781614994831
DOIs
出版狀態Published - 2015 一月 1
事件International Computer Symposium, ICS 2014 - Taichung, Taiwan
持續時間: 2014 十二月 122014 十二月 14

出版系列

名字Frontiers in Artificial Intelligence and Applications
274
ISSN(列印)0922-6389

Other

OtherInternational Computer Symposium, ICS 2014
國家Taiwan
城市Taichung
期間14-12-1214-12-14

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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  • 引用此

    Tsai, C. P., Hsiao, H. C., Chao, Y. C., Chu, C. L., & Chung, Y. C. (2015). The time machine in NoSQL. 於 W. C-C. Chu, S. J-H. Yang, & H-C. Chao (編輯), Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014 (頁 1317-1326). (Frontiers in Artificial Intelligence and Applications; 卷 274). IOS Press. https://doi.org/10.3233/978-1-61499-484-8-1317