IEICE TRANSACTIONS on Information
Parallel Image Convolution Processing with Replicas in a Network of Workstations
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E88-D No.6 pp.1199-1209
- Publication Date
- 2005/06/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietisy/e88-d.6.1199
- Type of Manuscript
- PAPER
- Category
- Database
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Masayoshi ARITSUGI, Hiroki FUKATSU, Yoshinari KANAMORI, "Parallel Image Convolution Processing with Replicas in a Network of Workstations" in IEICE TRANSACTIONS on Information,
vol. E88-D, no. 6, pp. 1199-1209, June 2005, doi: 10.1093/ietisy/e88-d.6.1199.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e88-d.6.1199/_p
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@ARTICLE{e88-d_6_1199,
author={Masayoshi ARITSUGI, Hiroki FUKATSU, Yoshinari KANAMORI, },
journal={IEICE TRANSACTIONS on Information},
title={Parallel Image Convolution Processing with Replicas in a Network of Workstations},
year={2005},
volume={E88-D},
number={6},
pages={1199-1209},
abstract={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.},
keywords={},
doi={10.1093/ietisy/e88-d.6.1199},
ISSN={},
month={June},}
Copy
TY - JOUR
TI - Parallel Image Convolution Processing with Replicas in a Network of Workstations
T2 - IEICE TRANSACTIONS on Information
SP - 1199
EP - 1209
AU - Masayoshi ARITSUGI
AU - Hiroki FUKATSU
AU - Yoshinari KANAMORI
PY - 2005
DO - 10.1093/ietisy/e88-d.6.1199
JO - IEICE TRANSACTIONS on Information
SN -
VL - E88-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2005
AB - 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.
ER -
English
