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Object clustering techniques for client/server and distributed software development

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4 Author(s)
Soo Dong Kim ; Dept. of Comput. Sci., Soongsil Univ., Seoul, South Korea ; Sung Yul Rhew ; Chul Jin Kim ; Dong Kwan Kim

While object-oriented paradigm is known to be effective for developing web-based software, most of the current object-oriented methodologies including OMT and UML do not provide effective methods and instructions for modeling client/server or distributed applications. We present new effective object clustering formalism and algorithms for client/server and distributed application development. The coupling degree among objects is often the key factor in grouping related objects into a cluster. If objects with large coupling degree are identified and clustered together, the cohesion in the cluster is increased and so network traffics among the clusters are largely reduced, yielding a high overall system performance. The paper presents the metrics for measuring object coupling and shows systematic algorithms for object clustering based on the proposed metrics. In addition, a case study is given to assess the proposed formalism and methods

Published in:

Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on  (Volume:3 )

Date of Conference:

11-14 Oct 1998