Clustering method based on the analysis of the access request stream in object-oriented databases
Journal Title: Computer Science and Mathematical Modelling - Year 2014, Vol 0, Issue 13
Abstract
Recent studies on modern database management systems consider object-oriented databases as a possible significant extension of the modern database functionalities. However, new functionalities bring an increased processing complexity. This may also result in an increased demand for computing resources and the deterioration of database performance. In this article, the use of clustering methods has been described as one of performance techniques in object-oriented databases. The article includes an introduction to the popular clustering methods discussed so far. Afterwards, a new method has been introduced in order to analyse the access request stream as the basis for a new clustering approach in OODB. Graph techniques are discussed as the basic elements of the familiar clustering methods and their adaptation to the aforementioned new approach. This article also describes limitations of the existing methods and the possible impact on the new technique. Finally, selected algorithm variants are proposed for the new clustering method to improve performance of object-oriented databases.
Authors and Affiliations
Karol Tomaszewski
Keywords
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- EP ID EP63191
- DOI 10.5604/15084183.1136517
- Views 137
- Downloads 0
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