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QuPreSS: A Service-Oriented Framework for Predictive Services Quality Assessment

  • Conference paper
7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 172))

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Abstract

Nowadays there are lots of predictive services for several domains such as stock market and bookmakers. The value delivered by these services relies on the quality of their predictions. This paper presents QuPreSS, a general framework which measures predictive service quality and guides the selection of the most accurate predictive service. To do so, services are monitored and their predictions are compared over time by means of forecast verification with observations. A systematic literature review was performed to design a service-oriented framework architecture that fits into the current body of knowledge. The service-oriented nature of the framework makes it extensible and interoperable, being able to integrate existing services regardless their heterogeneity of platforms and languages. Finally, we also present an instantiation of the generic framework architecture for the weather forecast domain, freely available at http://gessi.lsi.upc. edu/qupress/.

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References

  1. Bertolino, A.: Software testing research: Achievements, challenges, dreams. In: Proc. of the Future of Software Engineering Symposium, FOSE, pp. 85–103. IEEE-CS Press (2007)

    Google Scholar 

  2. Canfora, G., Di Penta, M.: Service-Oriented Architectures Testing: A Survey. In: De Lucia, A., Ferrucci, F. (eds.) ISSSE 2006-2008. LNCS, vol. 5413, pp. 78–105. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  3. Delgado, N., Gates, A.Q., Roach, S.: A taxonomy and catalog of runtime software-fault monitoring tools. IEEE Transactions on Software Engineering 30(12), 859–872 (2004)

    Article  Google Scholar 

  4. Domenico, B.: Forecast Verification with Observations: Use Case for Geosciences Web Services, http://www.unidata.ucar.edu/projects/THREDDS/GALEON/Phase2Connections/VerificationUseCase.html (cited February 19, 2012)

  5. Endo, A.T., Simao, A.S.: Formal Testing Approaches for Service-Oriented Architectures and Web Services: a Systematic Review. Technical Report Instituto de Ciências Matemáticas e de Computaçao 348 (2010) ISSN-0103-2569

    Google Scholar 

  6. Gregory, M., Spohrer, J.: Succeeding through service innovation: A service perspective for education, research, business and government. IBM IfM - University of Cambridge Institute for Manufacturing (2008) ISBN: 978-1-902546-65-0

    Google Scholar 

  7. Guha, R.: Flexible Web Service Infrastructure for the Development and Deployment of Predictive Models. J. Chem. Inf. Model 48(2), 456–464 (2008)

    Article  Google Scholar 

  8. Han, D., Huang, H., Cao, H., Cui, C., Jia, C.: A Service-Oriented Architecture Based Macroeconomic Analysis & Forecasting System. In: Zhou, X., Li, J., Shen, H.T., Kitsuregawa, M., Zhang, Y. (eds.) APWeb 2006. LNCS, vol. 3841, pp. 1107–1117. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  9. Kitchenham, B.: Procedures for Performing Systematic Literature Reviews. Keele University Technical Report, TR/RE-0401 (2004)

    Google Scholar 

  10. Latha, C.B.C., Paul, S., Kirubakaran, E., Sathianarayanan: A Service Oriented Architecture for Weather Forecasting Using Data Mining. Int. J. of Advanced Networking and Applications 2(2), 608–613 (2010)

    Google Scholar 

  11. Martínez-Fernández, S.: Accuracy Assessment of Forecasting Services. Master Thesis Universitat Politècnica de Catalunya (2011)

    Google Scholar 

  12. Marzolla, M., Mirandola, R.: Performance Prediction of Web Service Workflows. In: Overhage, S., Ren, X.-M., Reussner, R., Stafford, J.A. (eds.) QoSA 2007. LNCS, vol. 4880, pp. 127–144. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  13. Meng, H.N., Qi, Y., Hou, D., Zhang, Y., Liu, L.: Forecasting software aging of service-oriented application server based on wavelet network with adaptive genetic algorithm. In: Proc. of 3rd International Conference on Natural Computation, ICNC, pp. 353–357 (2007)

    Google Scholar 

  14. Murphy, A.H.: What is a good forecast? An essay on the nature of goodness in weather forecasting. Weather Forecasting 8, 281–293 (1993)

    Article  Google Scholar 

  15. Nikolopoulos, K., Metaxiotis, K., Assimakopoulos, V., Tavanidou, E.: A first approach to e-forecasting: a survey of forecasting Web services. Information Management & Computer Security 11(3), 146–152 (2003)

    Article  Google Scholar 

  16. de Oliveira, L.B.R., Romero Felizardo, K., Feitosa, D., Nakagawa, E.Y.: Reference Models and Reference Architectures Based on Service-Oriented Architecture: A Systematic Review. In: Babar, M.A., Gorton, I. (eds.) ECSA 2010. LNCS, vol. 6285, pp. 360–367. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  17. Oriol, M.: Quality of Service (QoS) in SOA Systems: A Systematic Review. Master Thesis Universitat Politècnica de Catalunya (2009)

    Google Scholar 

  18. Oriol, M., Franch, X., Marco, J.: SALMon: A SOA System for Monitoring Service Level Agreements. Universitat Politècnica de Catalunya Technical Report, LSI-10-18-R (2010)

    Google Scholar 

  19. Papazoglou, M.P., Traverso, P., Dustdar, S., Leymann, F.: Service-Oriented Computing: State of the Art and Research Challenges. Computer 40(11), 38–45 (2007)

    Article  Google Scholar 

  20. Punitha, S., Babu, C.: Performance Prediction Model for Service Oriented Applications. In: Proc. of 10th IEEE International Conference on High Performance Computing and Communications, HPC, pp. 995–1000 (2008)

    Google Scholar 

  21. Valipour, M.H., Amirzafari, B., Maleki, K.N., Daneshpour, N.: A brief survey of software architecture concepts and service oriented architecture. In: Proc. of 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT, pp. 34–38 (2009)

    Google Scholar 

  22. Xiao, N., Fu, W., Chen, T., Huang, Q.: A service-oriented monitoring system with a forecasting algorithm of a time sequence-based hybrid model. International Journal of Parallel, Emergent and Distributed Systems 23(2), 137–151 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  23. Zdun, U., Hentrich, C., van der Aalst, W.M.P.: A survey of patterns for service-oriented architectures. International Journal of Internet Protocol Technology 1(3), 132–143 (2006)

    Google Scholar 

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Authors and Affiliations

  1. GESSI, Universitat Politècnica de Catalunya (UPC), C/Jordi Girona 1-3, 08034, Barcelona, Spain

    Silverio Martínez-Fernández & Xavier Franch

  2. Dept. ICT, Universitat Pompeu Fabra (UPF), C/Tánger 122-140, 08018, Barcelona, Spain

    Jesús Bisbal

Authors
  1. Silverio Martínez-Fernández
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  2. Jesús Bisbal
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  3. Xavier Franch
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Corresponding author

Correspondence to Silverio Martínez-Fernández .

Editor information

Editors and Affiliations

  1. Staffordshire University, FCET, Stafford, ST18 OAD, United Kingdom

    Lorna Uden

  2. Department Computer Science and, Artificial Intelligence, Universidad Granada, C/ Periodista Daniel Saucedo Aranda s/n, Granada, 18071, Spain

    Francisco Herrera

  3. , Faculty of Computer Science, Pontificial University of Salamanca, C/Compañía 5, Salamanca, 37002, Spain

    Javier Bajo Pérez

  4. Department of Computing Science, and Control, Universidad Salamanca, Plaza de la Merced, s/n s/n, Salamanca, 37008, Spain

    Juan Manuel Corchado Rodríguez

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Martínez-Fernández, S., Bisbal, J., Franch, X. (2013). QuPreSS: A Service-Oriented Framework for Predictive Services Quality Assessment. In: Uden, L., Herrera, F., Bajo Pérez, J., Corchado Rodríguez, J. (eds) 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing. Advances in Intelligent Systems and Computing, vol 172. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30867-3_47

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  • DOI: https://doi.org/10.1007/978-3-642-30867-3_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30866-6

  • Online ISBN: 978-3-642-30867-3

  • eBook Packages: EngineeringEngineering (R0)

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