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Cluster Recovery for Fault Tolerance of Spatial Database Cluster in Sensor Networks

机译:传感器网络中空间数据库集群容错的集群恢复

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摘要

In sensor networks, a huge amount of data is collected by millions of sensors and small mobile devices need to be processed fast. And database which stores those data always should be able to response for any requirement. Spatial database cluster provides high performance and high availability. That suits sensor networks because spatial database cluster can efficiently manage and process much amount of data. The previous system, however, should write external logs every transaction for high availability in all nodes. So, all of update transactions are slowly processed because of writing external logs. Also, recovery time of the failed node is increased because external logs for all of database are written in only single storage. In this paper, we propose the cluster recovery of spatial database cluster. The proposed method has cluster logs in each table unit for consistency among nodes. Also, the cluster log is written just in case any node is failed. Therefore the proposed method is processed more fast because all update transactions don't write cluster logs. And the proposed method provides fast recovery because each table can be recovered concurrently.
机译:在传感器网络中,数百万个传感器收集了大量数据,小型移动设备需要快速处理。存储这些数据的数据库应始终能够响应任何需求。空间数据库集群可提供高性能和高可用性。这适合传感器网络,因为空间数据库集群可以有效地管理和处理大量数据。但是,先前的系统应在每个事务中写入外部日志,以在所有节点中实现高可用性。因此,由于写入外部日志,所有更新事务都将被缓慢处理。另外,由于所有数据库的外部日志仅写入单个存储中,因此故障节点的恢复时间增加了。在本文中,我们提出了空间数据库集群的集群恢复。所提出的方法在每个表单元中都有群集日志,以确保节点之间的一致性。此外,如果任何节点发生故障,也会写入群集日志。因此,由于所有更新事务都不会写入群集日志,因此可以更快地处理所提出的方法。由于每个表可以同时恢复,因此该方法提供了快速恢复。

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