DAPNA: An Architectural Framework for Data Processing Networks

  • Hasan SözerEmail author
  • Sander Nouta
  • Andreas Wombacher
  • Paolo Perona
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 264)


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.


Software architecture Framework Style Software reuse Data processing networks 



This work has been carried out as part of the CCES project RECORD [18].


  1. 1.
    van der Aalst WMP, Weijters AJMM (2004) Process mining: a research agenda. Comput Ind 53(3):231–244CrossRefGoogle Scholar
  2. 2.
    Abowd G, Allen R, Garlan D (1995) Formalizing style to understand descriptions of software architecture. ACM Trans Softw Eng Methodol 4(4):319–364CrossRefGoogle Scholar
  3. 3.
    Arrango G (1994) Domain analysis methods. In: Schafer, Prieto-Diaz R, Matsumoto M (eds) Software reusability. Ellis Horwood, Chichester, pp 17–49Google Scholar
  4. 4.
    Bishop RH (1996) Modern control systems analysis and design using MATLAB and SIMULINK. Addison Wesley, BostonGoogle Scholar
  5. 5.
    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 114–121Google Scholar
  6. 6.
    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, BostonGoogle Scholar
  7. 7.
    Coalition WM (1995) The workflow reference model. Document number TC00-1003, issue 1.1 (Jan 1995)Google Scholar
  8. 8.
    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 NetherlandsGoogle Scholar
  9. 9.
    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, IrvineGoogle Scholar
  10. 10.
    Kepler (2011) The kepler project. (Accessed on Aug 2011)
  11. 11.
    Monroe R, Kompanek A, Melton R, Garlan D (1997) Architectural styles, design patterns, and objects. IEEE Softw 14(1):43–52CrossRefGoogle Scholar
  12. 12.
    Muthukrishnan S (2003) Data streams: algorithms and applications. In: Proceedings of the 14th annual ACM-SIAM symposium on discrete algorithms (Jan 2003)Google Scholar
  13. 13.
    Nouta C (2011) Data processing networks made easy. M. Sc. thesis, Department of Computer Science, University of Twente, Enschede, The NetherlandsGoogle Scholar
  14. 14.
    Pal N, Pal S (1993) A review on image segmentation techniques. Pattern Recogn 26:1277–1294CrossRefGoogle Scholar
  15. 15.
    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 7:8873–8912CrossRefGoogle Scholar
  16. 16.
    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 6–13Google Scholar
  17. 17.
    Shi J, Malik J (2000) Normalized cuts and image segmentation. IEEE Trans Pattern Anal Mach Intell 22(8):888–905CrossRefGoogle Scholar
  18. 18.
    Swiss Experiment (2011) Record:home - swissexperiment.
  19. 19.
    Taverna (2011) Taverna - open source and domain independent workflow management system. (Accessed on Aug 2011)

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Hasan Sözer
    • 1
    Email author
  • Sander Nouta
    • 2
  • Andreas Wombacher
    • 2
  • Paolo Perona
    • 3
  1. 1.Özyeğin UniversityİstanbulTurkey
  2. 2.University of TwenteEnschedeThe Netherlands
  3. 3.Institute of Environmental EngineeringEPFLLausanneSwitzerland

Personalised recommendations