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Business Process Based Database Recovery and Experimental Results

机译:基于业务流程的数据库恢复和实验结果

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In this research paper we have explained and presented the results of a novel database recovery method. Taking into account that most data servers today are becoming increasingly autonomic and business process oriented, there is a need to develop a new model where it is possible to do a database recovery based on the occurrence of a business process rather than non intuitive data like time, log file name/location or system change number. The advantage of this recovery model is that the user will no longer be required to remember non intuitive data like timestamp up to which the data has to be restored, log file name/location or system change number. Moreover the database server has built in intelligence to identify transaction behaviour, study the pattern among these batches and then storing recovery information specific to these business process to be used later for recovery. Another advantage is that the down time needed for restoring the database is reduced drastically since the trial and error approach followed by conventional data servers in the absence of accurate recovery information is eliminated. We have also simulated the Idea using JAVA API’s and Apache Derby and presented the experimental results for reference..
机译:在这篇研究论文中,我们已经解释并介绍了一种新颖的数据库恢复方法的结果。考虑到当今大多数数据服务器正变得越来越具有自治性和面向业务流程的需求,因此需要开发一种新模型,该模型可以根据业务流程的发生而不是像时间这样的非直观数据进行数据库恢复,日志文件名/位置或系统更改号。此恢复模型的优势在于,不再需要用户记住不直观的数据,例如必须恢复数据的时间戳,日志文件名/位置或系统更改号。此外,数据库服务器还内置了智能功能,可识别交易行为,研究这些批处理之间的模式,然后存储特定于这些业务流程的恢复信息,以供以后进行恢复。另一个优点是,由于消除了在缺少准确恢复信息的情况下常规数据服务器所采用的反复试验方法,因此大大减少了恢复数据库所需的停机时间。我们还使用JAVA API和Apache Derby模拟了Idea,并提供了实验结果以供参考。

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