Abstract
A data processing network is as a set of (software) components connected through communication channels to apply a series of operations on data. Realization and maintenance of large-scale data processing networks necessitate an architectural approach that supports analysis, verification, implementation and reuse. However, existing tools and architectural styles fall short to support all these features. In this paper, we introduce an architectural style and framework for documenting and realizing data processing networks. Our framework employs reusable and composable data filters. These filters are annotated with their deployment information. The overall architecture is specified with an XML-based architecture description language. The specification is processed by a toolset for analysis and code generation. The framework has been utilized for defining and realizing an environmental monitoring application.
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References
van der Aalst WMP, Weijters AJMM (2004) Process mining: a research agenda. Comput Ind 53(3):231–244
Abowd G, Allen R, Garlan D (1995) Formalizing style to understand descriptions of software architecture. ACM Trans Softw Eng Methodol 4(4):319–364
Arrango G (1994) Domain analysis methods. In: Schafer, Prieto-Diaz R, Matsumoto M (eds) Software reusability. Ellis Horwood, Chichester, pp 17–49
Bishop RH (1996) Modern control systems analysis and design using MATLAB and SIMULINK. Addison Wesley, Boston
Bodensta L, Wombacher A, Wieringa R, Jaeger MC, Reichert M (2009) Monitoring service compositions in mode4sla - design of validation. In: Cordeiro J, Filipe J (eds) Proceedings of ICEIS (4), pp 114–121
Clements P, Bachmann F, Bass L, Garlan D, Ivers J, Little R, Nord R, Stafford J (2002) Documenting software architectures: views and beyond. Addison-Wesley, Boston
Coalition WM (1995) The workflow reference model. Document number TC00-1003, issue 1.1 (Jan 1995)
Dashofy E, van der Hoek A, Taylor R (2001) A highly-extensible, xml-based architecture description language. In: Proceedings of the working IEEE/IFIP conference on software architectures, Amsterdam, The Netherlands
Fielding R (2000) Architectural styles and the design of network-based software architecture. Ph.D. dissertation, Department of Information and Computer Science, University of California, Irvine
Kepler (2011) The kepler project. http://kepler-project.org. (Accessed on Aug 2011)
Monroe R, Kompanek A, Melton R, Garlan D (1997) Architectural styles, design patterns, and objects. IEEE Softw 14(1):43–52
Muthukrishnan S (2003) Data streams: algorithms and applications. In: Proceedings of the 14th annual ACM-SIAM symposium on discrete algorithms (Jan 2003)
Nouta C (2011) Data processing networks made easy. M. Sc. thesis, Department of Computer Science, University of Twente, Enschede, The Netherlands
Pal N, Pal S (1993) A review on image segmentation techniques. Pattern Recogn 26:1277–1294
Pasquale P, Perona P, Schneider P, Shrestha J, Wombacher A, Burlando P (2010) Modern comprehensive approach to monitor the morphodynamic evolution of restored river corridors. Hydrology Earth Syst Sci Discuss 7:8873–8912
Shaw M, Clements P (1997) A field guide to boxology: preliminary classification of architectural styles for software systems. In: Proceedings of the 21st international computer software and applications conference. Washington, DC, pp 6–13
Shi J, Malik J (2000) Normalized cuts and image segmentation. IEEE Trans Pattern Anal Mach Intell 22(8):888–905
Swiss Experiment (2011) Record:home - swissexperiment. http://www.swiss-experiment.ch/index.php/Record:Home
Taverna (2011) Taverna - open source and domain independent workflow management system. http://www.taverna.org.uk. (Accessed on Aug 2011)
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This work has been carried out as part of the CCES project RECORD [18].
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© 2013 Springer International Publishing Switzerland
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Sözer, H., Nouta, S., Wombacher, A., Perona, P. (2013). DAPNA: An Architectural Framework for Data Processing Networks. In: Gelenbe, E., Lent, R. (eds) Information Sciences and Systems 2013. Lecture Notes in Electrical Engineering, vol 264. Springer, Cham. https://doi.org/10.1007/978-3-319-01604-7_22
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DOI: https://doi.org/10.1007/978-3-319-01604-7_22
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