Crash Recovery for Embedded Main Memory Database
Автор: Yi-bing Li, Shuang Wang, Fang Ye
Журнал: International Journal of Wireless and Microwave Technologies(IJWMT) @ijwmt
Статья в выпуске: 5 Vol.2, 2012 года.
Бесплатный доступ
In the last years, the deployment of embedded real-time communication systems has increased dramatically. At the same time, the amount of data that needs to be managed by embedded real-time main memory databases is increasing, thus requiring an efficient data management. However, system crash will cause data loss in main memory, which will seriously affect the normal operation of the entire communication system. This paper introduces an algorithm of system crash recovery applied in main memory database of embedded real-time communication system. This paper expatiates the software architecture of SDR base station, the cause of crash occurring, and proposes the flash recovery algorithm using for system recovery. A main memory database using this algorithm has been applied in a real communication system——multimode SDR base station communication system.
Crash Recovery, Embedded Main Memory Database, System Crash, Multimode SDR Base Station
Короткий адрес: https://sciup.org/15012830
IDR: 15012830
Список литературы Crash Recovery for Embedded Main Memory Database
- Ping Liang, Yunsheng Liu, “A checkpointing strategy and redo point strategy for embedded real-time main memory databases crash recovery,” 2009 WRI World Congress on Computer Science and Information Engineering, vol.2, pp.696-700, March 2009
- Tang Yanjun, Luo Wen-hua, “A model of crash recovery in main memory database,” 2010 International Conference On Computer Design And Applications (ICCDA), vol. 5, pp. 205-207, June 2010.
- Jiang Hao, Zhang Li, “Design of Distributed Main Memory Database Based on an Improved P2P Routing Algorithm,” 2009 1st International Conference on Information Science and Engineering(ICISE), pp.190-193, Dec 2009.
- Qin Xiangpai, Zhou Xiaoyun, “Performance study on logging to another main memory database,” 2010 4th International Conference on New Trends in Information Science and Service Science(NISS), pp. 36-40, May 2010.
- Qin Xiangpai, Xiao Yanqin, Cao Wei, Wang Shan,”A Parallel Recovery Scheme for Update Intense Main Memory Database Systems,” PDCAT Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies, pp. 509-516, Dec 2008.