Parallel Image Convolution Processing with Replicas in a Network of Workstations

Masayoshi ARITSUGI
Yoshinari KANAMORI

IEICE TRANSACTIONS on Information and Systems   Vol.E88-D    No.6    pp.1199-1209
Publication Date: 2005/06/01
Online ISSN: 
DOI: 10.1093/ietisy/e88-d.6.1199
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Database
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.