Performance engineering of service compositions

ABSTRACT

While a service-oriented approach to software engineering has become popular in recent times, the actual performance of systems composed from many distributed parts is still largely unpredictable. We describe our recent research applying performance test-bed generation techniques to service-oriented architectural models as an advance on the state of the art in performance engineering of service-oriented software. We outline our related research on tools for business process composition, performance engineering and dynamic system architectures.

REFERENCES

• 1: Rakesh Agrawal , Roberto J. Bayardo, Jr. , Daniel Gruhl , Spiros Papadimitriou, Vinci: a service-oriented architecture for rapid development of web applications, Proceedings of the 10th international conference on World Wide Web, p.355-365, May 01-05, 2001, Hong Kong, Hong Kong [doi>10.1145/371920.372088]
• 2: F. Andolfi , F. Aquilani , S. Balsamo , P. Inverardi, Deriving performance models of software architectures from message sequence charts, Proceedings of the 2nd international workshop on Software and performance, p.47-57, September 2000, Ottawa, Ontario, Canada [doi>10.1145/350391.350404]
• 3: Performance analysis at the software architectural design level, Performance Evaluation, v.45 n.2-3, p.147-178, July 1 2001 [doi>10.1016/S0166-5316(01)00035-9]
• 4: Shiping Chen , Yan Liu , Ian Gorton , Anna Liu, Performance prediction of component-based applications, Journal of Systems and Software, v.74 n.1, p.35-43, January 2005 [doi>10.1016/j.jss.2003.05.005]
• 5: Vittorio Cortellessa , Raffaela Mirandola, Deriving a queueing network based performance model from UML diagrams, Proceedings of the 2nd international workshop on Software and performance, p.58-70, September 2000, Ottawa, Ontario, Canada [doi>10.1145/350391.350406]
• 6: Dirk Draheim , John Grundy , John Hosking , Christof Lutteroth , Gerald Weber, Realistic Load Testing ofWeb Applications, Proceedings of the Conference on Software Maintenance and Reengineering, p.57-70, March 22-24, 2006
• 7: M. Gerndt, Automatic performance analysis tools for the Grid: Research Articles, Concurrency and Computation: Practice & Experience, v.17 n.2-4, p.99-115, February 2005 [doi>10.1002/cpe.v17:2/4]
• 8: I. Gourlay, M. Haji and K. Djemame. Performance Evaluation of a SNAP-based Grid Resource Broker, Proceedings of the 1st European Performance Engineering Workshop (EPEW'2004), Toledo, Spain, September 2004.
• 9: John Grundy , Yuhong Cai , Anna Liu, SoftArch/MTE: Generating Distributed System Test-Beds from High-Level Software Architecture Descriptions, Automated Software Engineering, v.12 n.1, p.5-39, January 2005 [doi>10.1023/B:AUSE.0000049207.62380.74]
• 10: J. C. Grundy and J.G. Hosking, Engineering plug-in software components to support collaborative work, Software - Practice and Experience, vol. 32, Wiley, pp. 983--1013, 2002.
• 11: John Grundy , Guoliang Ding , John Hosking, Deployed software component testing using dynamic validation agents, Journal of Systems and Software, v.74 n.1, p.5-14, January 2005 [doi>10.1016/j.jss.2003.05.001]
• 12: R. Heckel, R. and M. Lohmann, Towards Contract-based Testing of Web Services, Electronic Notes in Theoretical Computer Science Vol. 82 No. 6, 2003.
• 13: M. Kano , A. Koide , T.-K. Liu , B. Ramachandran, Analysis and simulation of business solutions in a service-oriented architecture, IBM Systems Journal, v.44 n.4, p.669-690, 2005
• 14: Na Liu , John Grundy , John Hosking, A visual language and environment for composing web services, Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering, November 07-11, 2005, Long Beach, CA, USA [doi>10.1145/1101908.1101960]
• 15: Y. Liu, I. Gorton, Performance Prediction of J2EE Applications Using Messaging Protocols. Proceedings of 2005 Symposium on Component-based Software Engineering, 2005, pp. 1--16.
• 16: Adrian Mos , John Murphy, A framework for performance monitoring, modelling and prediction of component oriented distributed systems, Proceedings of the 3rd international workshop on Software and performance, July 24-26, 2002, Rome, Italy [doi>10.1145/584369.584403]
• 17: Sara Sprenkle , Emily Gibson , Sreedevi Sampath , Lori Pollock, Automated replay and failure detection for web applications, Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering, November 07-11, 2005, Long Beach, CA, USA [doi>10.1145/1101908.1101947]
• 18: Santokh Singh , John Grundy , John Hosking , Jing Sun, An Architecture for Developing Aspect-Oriented Web Services, Proceedings of the Third European Conference on Web Services, p.72, November 14-16, 2005 [doi>10.1109/ECOWS.2005.7]
• 19: J. Skene and W. Emerick, Model Driven Performance Analysis of Enterprise Information Systems, Electronic Notes in Theoretical Computer Science Vol. 82 No. 6 (2003).
• 20: James Skene , D. Davide Lamanna , Wolfgang Emmerich, Precise Service Level Agreements, Proceedings of the 26th International Conference on Software Engineering, p.179-188, May 23-28, 2004
• 21: S.A. White, An introduction to BPMN, IBM, May 2004, http://www.bpmn.org/

INDEX TERMS

Primary Classification:
  D. Software
  D.2 SOFTWARE ENGINEERING
      D.2.2 Design Tools and Techniques
          Subjects: Computer-aided software engineering (CASE)

Additional Classification:
  D. Software
  D.2 SOFTWARE ENGINEERING
        D.2.11 Software Architectures
            Subjects: Domain-specific architectures
      D.2.8 Metrics
          Subjects: Performance measures

General Terms:
Design, Experimentation, Measurement, Performance

Keywords:
business process composition, domain-specific software tools, dynamic architectures, performance engineering