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Parallel recovery method in shared-nothing spatial database cluster system

Parallel recovery method in shared-nothing spatial database cluster system
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摘要 Shared nothing spatial database cluster system provides high availability since a replicated node can continue service even if any node in cluster system was crashed. However if the failed node wouldn’t be recovered quickly, whole system performance will decrease since the other nodes must process the queries which the failed node may be processed. Therefore the recovery of cluster system is very important to provide the stable service. In most previous proposed techniques, external logs should be recorded in all nodes even if the failed node does not exist. So update transactions are processed slowly. Also recovery time of the failed node increases since a single storage for all database is used to record external logs in each node. Therefore we propose a parallel recovery method for recovering the failed node quickly. Shared nothing spatial database cluster system provides high availability since a replicated node can continue service even if any node in cluster system was crashed. However if the failed node wouldn't be recovered quickly, whole system performance will decrease since the other nodes must process the queries which the failed node may be processed. Therefore the recovery of cluster system is very important to provide the stable service. In most previous proposed techniques, external logs should be recorded in all nodes even if the failed node does not exist. So update transactions are processed slowly. Also recovery time of the failed node increases since a single storage for all database is used to record external logs in each node. Therefore we propose a parallel recovery method for recovering the failed node quickly.
出处 《重庆邮电学院学报(自然科学版)》 2004年第5期173-180,共8页 Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition)
基金 This work is supported by University IT Research Center Project
关键词 平行记录方法 串系统 GMS/Cluster 空间数据库 共享 parallel recovery method cluster system GMS/Cluster
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参考文献15

  • 1SVEIN Erik Bratsberg, SVEIN-Olaf Hvasshovd,OYSTEIN Torbjornsen. Parallel solutions in ClustRa [A ]. IEEE Computer Society Technical Committe on Data Engineering[C]. 1997.
  • 2YOU B, KIM M, KIM J, et al. Design and implementation of GMS/Cluster [A]. Proceedings of the Korea Open GIS Association[C]. 2003.
  • 3DAVID J. DEWitt, JIM Gray. Parallel database systems: the future of database processing or a passing fad? [EB/OL]. Microsoft, http:∥research.microsoft. com/~gray/CacmParallelDB. doc.
  • 4NIKOS Koudas, CHRISTOS Faloutsos, IBRAHIM Kamel. Declustering spatial databases on a multicomputer architecture[Z]. 1996.
  • 5ROGER Bamford, RAFIUL Ahad, ANGELO Pruscino. A scalable and highly available networked database architecture[A]. Proceedings of the 25th VLDB Conference[C]. Edinburgh, Scotland, 1999.
  • 6WIESMANN M, PEDONE F, SCHIPER A,et al.Understanding replication in databases and distributed systems. In Proceedings of the 20th International Conference on Distributed Computing Systems[C]. April 2000.
  • 7SVEIN-Olaf Hvasshovd, OYSTEIN Torbjornsen,SVEIN Erik Bratsberg. The ClustRa telecom database: high availability, high throughput, and real-time response [A]. Proceedings of the 21st VLDB Conference[C]. 1995.
  • 8JIMENEZ-Peris R, PATINO-Martinez M, ALONSO G. An algorithm for non-intrusive, parallel recovery of replicated data and its correctness[A]. IEEE Symp. on Reliable Distributed Systems[C]. 2002.
  • 9OYSTEIN Torbjornsen, SVEIN-Olaf Hvasshovd,YOUNG-Kuk Kim. Towards real-time performance in a scalable, continuously available telecom DBMS[C]. ClustRa, 2001.
  • 10CHARLES B. Clifford. SYBASE Replication Server Prime[M]. Computing McGraw-Hill, 1995.

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