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Parallel Image Convolution Processing with Replicas in a Network of Workstations
Masayoshi ARITSUGI Hiroki FUKATSU Yoshinari KANAMORI
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2005/06/01
Print ISSN: 0916-8532
Type of Manuscript: PAPER
digital image convolution, CORBA, performance evaluation, network of workstations, parallel and distributed processing,
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Data accessed by many sites are replicated in distributed environments for performance and availability. In this paper, replication schemes are examined in parallel image convolution processing. This paper presents a system architecture that we have developed with CORBA (Common Object Request Broker Architecture) for the processing. Employing CORBA enables us to make use of a cluster of workstations, each of which has a different level of computing power. The paper also describes a parallel and distributed image convolution processing model using replicas stored in a network of workstations, and reports some experimental results showing that our analytical model can agree with practical situations.