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    STUDIA INFORMATICA - Issue no. 2 / 2009  
         
  Article:   HIERARCHICAL CLUSTERING IN LARGE OBJECT DATASETS - A STUDY ON COMPLEXITY, QUALITY AND SCALABILITY.

Authors:  ANCA GOG. 		 
       
         
  Abstract:  Object database fragmentation (horizontal fragmentation) deals with splitting the extension of classes into subsets according to some criteria. The resulting fragments are then used either in distributed database processing or in parallel data processing in order to spread the computation power over multiple nodes or to increase data locality features on each node. In this paper we propose an analysis on the application of hierarchical clustering over object datasets (databases). We use a hierarchical clustering algorithm in order to split the object set into fragments and we analyze their quality based on data accesses in a distributed system. In order to measure the scalability of the algorithm we apply it consecutively to a small, medium and large sized database. We also compare the obtained results with those obtained with other fragmentation algorithms.

Key words and phrases. clustering, distributed databases.
  
         
     
         
         
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