Abstract
Computational grids have become a vital emerging platform for high-performance computing. However, some obstacles for the prevalence of grid and the grid application development are still far from mature, which is largely due to the immature grid-enabled computing environment. Image-Processing Grid Environment (IPGE) is a project that aims at providing high performance image-processing platform in a grid computing environment. IPGE is a combination of components and workflow techniques on which complex applications can be modelled as grid workflows with local or grid-enabled remote service components. In this paper, we discuss the infrastructure to provide the integration platform with both techniques, which provides flexible and useful mechanism and scheduling strategy to achieve series image processing operations. Components and workflow techniques provide benefits of flexibility, reusability and scalability and to construct cooperative image-processing applications easily.
This paper is supported by ChinaGrid project from Ministry of Education
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Foster, I., Kesselman, C. (eds.): The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann Publishers, San Francisco (1998)
Foster, I., Kesselman, C., Tuecke, S.: The Anatomy of the Grid: Enabling Scalable Virtual Organizations. International Journal of High Performance Computing Applications 15(3), 200–222 (2001)
Manolakos, E.S., Funk, A.: Rapid Prototyping of Component-based Distributed Image Processing Applications Using JavaPorts. In: Proceedings of Workshop on Computer-Aided Medical Image Analysis, CenSSIS Research and Industrial Collaboration Conference (2002)
Hastings, S., Kurc, T., Langella, S., Catalyurek, U., Pan, T., Saltz, J.: Image Processing for the Grid: A Toolkit for Building Grid-enabled Image Processing Applications. In: Proceedings of 3rd International Symposium on Cluster Computing and the Grid, Tokyo, Japan, May 2003, pp. 36–43 (2003)
Amendolia, S.R., Brady, M., McClatchey, R., Mulet-Parada, M., Odeh, M., Solomonides, T.: MammoGrid: Large-Scale Distributed Mammogram Analysis. In: Proceedings of the XV111th Medical Informatics Europe conference (MIE 2003), St Malo, France, May 2003, pp. 194–199 (2003)
Stevens, R., Robinson, A., Goble, C.A.: myGrid: Personalised Bioinformatics on the Information Grid. In: Proceedings of 11th International Conference on Intelligent Systems in Molecular Biology, Australia, July 2003, pp. 302–304 (2003)
Frey, J., Tannenbuaum, T., Livny, M., Foster, I., Tuecke, S.: Condor-G: A computation management agent for multi-institutional grids. In: Proceedings of the Tenth IEEE Symposium on High Performance Distributed Computing (HPDC10) (August 2001)
Bhatia, D., Burzevski, V., Camuseva, M., Fox, G., Furmanski, W., Premchandran, G.: WebFlow-a visual Programming Paradigm for Web/Java Based Coarse Grain Distributed Computing. Concurrency: Practice and Experience 9(6), 555–566 (1997)
Graham, S., Simeonov, S., Boubez, T., Davis, D., Daniels, G., Nakamura, Y., Neyama, R.: Building Web Services with Java: Making Sense of XML, SOAP, WSDL, and UDDI. SAMS publishing (2001)
Forster, I., Kesselman, C., Nick, J., Tuecke, S.: The Physiology of the Grid: An Open Grid Services Architecture for Distributed Systems Integration, Open Grid Service Infrastructure WG, Global Grid Forum, June 22 (2002)
Zhuge, H.: Timed Workflow: Concept, Model, and Method. In: Proceedings of 1st International Conference on Web Information Systems Engineering (WISE 2000), Hong Kong (June 2000)
van der Aalst, W.M.P., Basten, T.: Inheritance of Workflows: An approach to tackling problems related to change. Theoretical Computer Science (January 2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zheng, R., Jin, H., Zhang, Q., Li, Y., Chen, J. (2004). IPGE: Image Processing Grid Environment Using Components and Workflow Techniques. In: Jin, H., Pan, Y., Xiao, N., Sun, J. (eds) Grid and Cooperative Computing - GCC 2004. GCC 2004. Lecture Notes in Computer Science, vol 3251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30208-7_90
Download citation
DOI: https://doi.org/10.1007/978-3-540-30208-7_90
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23564-4
Online ISBN: 978-3-540-30208-7
eBook Packages: Springer Book Archive