Abstract
This paper gives an overview over different techniques necessary for the realisation of distributed image retrieval systems by considering a running prototype Cairo as an example. Cairo uses the performance capabilities of a cluster architecture for the realisation of a highquality, object-based image analysis and search. Integrated scheduling algorithms balance the workload over the available nodes and minimise the communication within the cluster.
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References
J.P. Eakins, M. Graham. Content-based image retrieval. Technical Report JTAP-039, University of Northumbria at Newcastle, October 1999.
G.F. Pfister. In Search of Clusters. Prentice Hall, 2.edition, 1998.
D.F. Savarese, T. Sterling. Beowulf. High Performance Cluster Computing-Architecturesand Systems, pp 625–645, Prentice Hall, 1999.
Parallel Virtual Mashine: http://www.epm.ornl.gov/pvm/.
Massage Passing Interface: http://www.mpi-forum.org/.
O. Kao, G. Steinert, F. Drews. Scheduling Aspects for Image Retrieval in Cluster-Based Image Databases. Proceedings of the IEEE/ACM Symposium on Cluster Computing (CCGrid 2001), to be published.
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© 2001 Springer-Verlag Berlin Heidelberg
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Kao, O. (2001). A Prototype for a Distributed Image Retrieval System. In: Hertzberger, B., Hoekstra, A., Williams, R. (eds) High-Performance Computing and Networking. HPCN-Europe 2001. Lecture Notes in Computer Science, vol 2110. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48228-8_64
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DOI: https://doi.org/10.1007/3-540-48228-8_64
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