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Please use this identifier to cite or link to this item: http://hdl.handle.net/10023/1786
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Title: Evolving database systems : a persistent view
Authors: Kirby, G. N. C.
Morrison, R.
Connor, R. C. H.
Zdonik, S. B.
Keywords: QA76 Computer software
Issue Date: 1997
Citation: Kirby , G N C , Morrison , R , Connor , R C H & Zdonik , S B 1997 , Evolving database systems : a persistent view . Technical Report , no. CS/97/5 , University of St Andrews .
Series/Report no.: Technical Report
Abstract: Orthogonal persistence ensures that information will exist for as long as it is useful, for which it must have the ability to evolve with the growing needs of the application systems that use it. This may involve evolution of the data, meta-data, programs and applications, as well as the users' perception of what the information models. The need for evolution has been well recognised in the traditional (data processing) database community and the cost of failing to evolve can be gauged by the resources being invested in interfacing with legacy systems. Zdonik has identified new classes of application, such as scientific, financial and hypermedia, that require new approaches to evolution. These applications are characterised by their need to store large amounts of data whose structure must evolve as it is discovered by the applications that use it. This requires that the data be mapped dynamically to an evolving schema. Here, we discuss the problems of evolution in these new classes of application within an orthogonally persistent environment and outline some approaches to these problems.
Version: Postprint
Description: Submitted to POS7
URI: http://hdl.handle.net/10023/1786
Type: Report
Publisher: University of St Andrews
Appears in Collections:University of St Andrews Research
Computer Science Research



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