Abstract
In this paper we review the central concepts of the Open Grid Service Environment, which represents an abstract service stack and was introduced to design workflow-based problem solving environments. So far, it has been used to model large-scale computational finance problems as abstract workflows with meta-components and instantiate such workflows with different components based on semantic matching. In this paper we continue by presenting two further examples from the field of computational finance, which substantiate the need for Grid technologies and take a closer look at the implementational issues and apply the concepts of Enterprise Service Busses for parallel process orchestration. The CCA (Common Component Architecture) and its convergence to Web service specifications is the key technology for integrating heterogeneous components, with which one has to deal with in the financial sector.
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
Wiesinger, C., Giczi, D., Hochreiter, R.: An Open Grid Service Environment for large-scale computational finance modeling systems. In: Bubak, M., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2004. LNCS, vol. 3036, pp. 83–90. Springer, Heidelberg (2004)
Pflug, G.C., Swietanowski, A., Dockner, E., Moritsch, H.: The AURORA financial management system: Model and parallel implementation design. Annals of Operations Research 99, 189–206 (2000)
Harris, D.: Will financial services drive Grid adoption? Grid Today 3 (2004)
Markowitz, H.M.: Portfolio selection. Journal of Finance 7, 77–91 (1952)
Mulvey, J.M., Vanderbei, R.J., Zenios, S.A.: Robust optimization of large-scale systems. Operations Research 43, 264–281 (1995)
Ruszczynski, A., Shapiro, A. (eds.): Stochastic Programming. Handbooks in Operations Research and Management Science, vol. 10. Elsevier, Amsterdam (2003)
Linderoth, J.T., Wright, S.J.: Decomposition algorithms for stochastic programming on a Computational Grid. Computational Optimization and Applications 24, 207–250 (2003)
Armstrong, R., Gannon, D., Geist, A., Keahey, K., Kohn, S., McInnes, L., Parker, S., Smolinski, B.: Toward a common component architecture for high-performance scientic computing. In: 8th IEEE International Symposium on High Performance Distributed Computing (1999)
Cleary, A., Kohn, S., Smith, S., Smolinski, B.: Language interoperability mechanisms for high-performance scientific applications. In: SIAM Workshop on Object-Oriented Methods for Inter-operable Scientific and Engineering Computing, Yorktown Heights, NY (1998)
Dahlgren, T., Epperly, T., Kumfert, G., Leek, J.: Babel Users’ Guide. Center For Applied Scientic Computing Lawrence Livermore National Laboratory. Livermore, California, USA (2004)
Kumfert, G.: Understanding the CCA standard through Decaf (updated for CCA 0.6.1 and Babel 0.8.4). UCRL-MA-148390 (2003)
Allan, B., Armstrong, R., Wolfe, A., Ray, J., Bernholdt, D., Kohl, J.: The CCA core specification in a distributed memory SPMD framework. Concurrency and Computation: Practice and Experience 14, 323–345 (2002)
Krishnan, S., Gannon, D.: XCAT3: a framework for CCA components as OGSA services. In: High-Level Parallel Programming Models and Supportive Environments, pp. 90–97 (2004)
Zhang, K., Damevski, K., Venkatachalapathy, V., Parker, S.: SCIRun2: a CCA framework for high performance computing. In: High-Level Parallel Programming Models and Supportive Environments, pp. 72–79 (2004)
Booth, D., Haas, H., McCabe, F., Newcomer, E., Champion, M., Ferris, C., Orchard, D.: Web Services Architecture (2004), http://www.w3.org/TR/2004/NOTE-ws-arch-20040211/
Keen, M., Acharya, A., Bishop, S., Hopkins, A., Milinski, S., Nott, C., Robinson, R., Adams, J., Verschueren, P.: Patterns: Implementing an SOA Using an Enterprise Service Bus. IBM Redbooks (2004)
Eugster, P., Felber, P., Guerraoui, R., Kermarrec, A.: The many faces of publish/subscribe. ACM Computing Surveys 35, 114–131 (2003)
Benkner, S., Brandic, I., Engelbrecht, G., Schmidt, R.: VGE - a service-oriented environment for on-demand supercomputing. In: Proceedings of the Fifth IEEE/ACM International Workshop on Grid Computing (Grid 2004), pp. 11–18 (2004)
Benkner, S., Brandic, I., Engelbrecht, G., Schmidt, R.: VGSE user manual (2004), http://www.par.univie.ac.at/project/vge/
Benkner, S., Brandic, I., Engelbrecht, G., Schmidt, R.: VGCE user manual (2004), http://www.par.univie.ac.at/project/vge/
Rockafellar, R., Uryasev, S.: Optimization of Conditional Value-at-Risk. The Journal of Risk 2, 21–41 (2000)
Wunderling, R.: Paralleler und Objektorientierter Simplex-Algorithmus. PhD thesis, ZIB technical report TR 96-09, Berlin (1996)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hochreiter, R., Wiesinger, C., Wozabal, D. (2005). Large-Scale Computational Finance Applications on the Open Grid Service Environment. In: Sloot, P.M.A., Hoekstra, A.G., Priol, T., Reinefeld, A., Bubak, M. (eds) Advances in Grid Computing - EGC 2005. EGC 2005. Lecture Notes in Computer Science, vol 3470. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11508380_91
Download citation
DOI: https://doi.org/10.1007/11508380_91
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26918-2
Online ISBN: 978-3-540-32036-4
eBook Packages: Computer ScienceComputer Science (R0)