BPRules and the BPR-Framework: Comprehensive Support for Managing QoS in Web Service Compositions

  • Diana Elena Comes
  • Harun Baraki
  • Roland Reichle
  • Kurt Geihs
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7272)


For a successful collaboration between enterprises, Web services and service compositions need to fulfill certain QoS (Quality of Service) requirements so that they can be trusted by their clients. Thus, the best services have to be chosen for the composition, the performance of the composition needs to be monitored and in case of QoS deviations, appropriate management actions are required. We propose the BPRules language and the BPR-framework that offer novel capabilities and improved flexibility for the management of BPEL processes with regard to QoS concerns. The BPRules language allows to specify the QoS monitoring of BPEL processes and offers a variety of management actions for controlling the process and for the improvement of its QoS behavior. Thereby, the BPR-framework provides the necessary components to perform the QoS monitoring and to execute the management actions. For the selection of high quality services, the BPR-framework comes with efficient selection algorithms, like our OPTIM_PRO algorithm. We present the features of BPRules that we consider as indispensable for managing the services’ QoS behavior.


Service Composition Service Selection Process Instance Concrete Service Business Analyst 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Canfora, G., Penta, M., Esposito, R., Villani, M.L.: An approach for QoS-aware service composition based on genetic algorithms. In: Proceedings of the 2005 Conference on Genetic and Evolutionary Computation. ACM, Washington DC (2005)Google Scholar
  2. 2.
    Zeng, L., Benatallah, B., Ngu, A.H., Dumas, M., Kalagnanam, J., Chang, H.: QoS-Aware Middleware for Web Services Composition. In: IEEE Transactions on Software Engineering, pp. 311–327. IEEE Press (2004)Google Scholar
  3. 3.
    Comes, D., Bleul, S., Weise, T., Geihs, K.: A Flexible Approach for Business Processes Monitoring. In: Senivongse, T., Oliveira, R. (eds.) DAIS 2009. LNCS, vol. 5523, pp. 116–128. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  4. 4.
    Comes, D., Baraki, H., Reichle, R., Zapf, M., Geihs, K.: Heuristic Approaches for QoS-Based Service Selection. In: Maglio, P.P., Weske, M., Yang, J., Fantinato, M. (eds.) ICSOC 2010. LNCS, vol. 6470, pp. 441–455. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  5. 5.
    Repp, N., Eckert, J., Schulte, S., Niemann, M., Berbner, R., Steinmetz, R.: Towards Automated Monitoring and Alignment of Service-based Workflows. In: IEEE Int. Conference on Digital Ecosystems and Technologies. IEEE Xplore, Australia (2008)Google Scholar
  6. 6.
    Leitner, P., Wetzstein, B., Karastoyanova, D., Hummer, W., Dustdar, S., Leymann, F.: Preventing SLA Violations in Service Compositions Using Aspect-Based Fragment Substitution. In: Maglio, P.P., Weske, M., Yang, J., Fantinato, M. (eds.) ICSOC 2010. LNCS, vol. 6470, pp. 365–380. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  7. 7.
    Web Services Business Process Execution Language Version 2.0, OASIS standard (2007),
  8. 8.
    Oracle BPEL Process Manager, Oracle (January 25, 2012),
  9. 9.
    Baligand, F., Rivierre, N., Ledoux, T.: A Declarative Approach for QoS-Aware Web Service Compositions. In: Krämer, B.J., Lin, K.-J., Narasimhan, P. (eds.) ICSOC 2007. LNCS, vol. 4749, pp. 422–428. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  10. 10.
    Baligand, F., Rivierre, N., Ledoux, T.: QoS Policies for Business Processes in Service Oriented Architectures. In: Bouguettaya, A., Krueger, I., Margaria, T. (eds.) ICSOC 2008. LNCS, vol. 5364, pp. 483–497. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  11. 11.
    Lu, Q., Tosic, V.: Support for Concurrent Adaptation of Multiple Web Service Compositions to Maximize Business Metrics. In: Proceedings of the 12th IFIP/IEEE International Symposium Integrated Network Management (IM), Ireland (2011)Google Scholar
  12. 12.
    Baresi, L., Guinea, S.: Towards Dynamic Monitoring of WS-BPEL Processes. In: Benatallah, B., Casati, F., Traverso, P. (eds.) ICSOC 2005. LNCS, vol. 3826, pp. 269–282. Springer, Heidelberg (2005)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2012

Authors and Affiliations

  • Diana Elena Comes
    • 1
  • Harun Baraki
    • 1
  • Roland Reichle
    • 1
  • Kurt Geihs
    • 1
  1. 1.Distributed Systems GroupUniversity of KasselKasselGermany

Personalised recommendations