Performance Monitoring Framework for Service Oriented System Lifecycle

Tehreem Masood, Chantal Cherifi, Nejib Moalla

Abstract

Service oriented systems are highly dynamic systems composed of several web services. One of the most important challenges in service oriented systems is to deliver acceptable quality of service. For this purpose, it is required to monitor quality of service along different activities of service oriented system. Existing research focuses on specific activities but do not take into account all the activities of service oriented system together at the infrastructure level. In this paper, we present performance monitoring framework to provide support for the whole service oriented system lifecycle. Our framework integrates several ontologies to monitor the performance of service oriented systems in order to ensure their sustainability. We design a base Service Monitoring Ontology that captures all the information about the service domain. Along with that we design ontologies for technical indicators at service level, binding level, composition level and server level. We conduct a performance evaluation over real web services using suitable estimators for response time, delay, loss and more.

References

  1. Agrawal, D, (2015) Challenges and Opportunities with. Big Data. White paper, USA.
  2. Andrikopoulos, V., Bertoli, P., & Bindelli, S. (2008).State. of the art report on software engineering design knowledge and survey of HCI and contextual knowledge. Project Deliverable PO-JRA.
  3. Erl, T. (2008). Soa: Principles of service design(Vol.1).Prentice Hall Upper Saddle River.
  4. Weerawarana, S., Curbera, F., Leymann, F., Storey, T., Ferguson, D. (2005) Web Services Platform Architecture. Prentice Hall PTR.
  5. Web Services Business Process Execution Language Version 2.0 (2007) - Committee Specification. Published via Internet.
  6. Antoniou, G., and Harmelen, F.V. 2004. A Semantic Web Primer. MIT Press Cambridge, ISBN 0-262-01210-3.
  7. Fahad M. and Qadir, M. A. (2008). “A Framework for Ontology Evaluation.” ICCS Suppl, vol. 354, pp 149- 158.
  8. Gomez-Perez, A., Lopez, M.F, and Garcia, O.C. (2001). Ontological Engineering: With Examples from the Areas of Knowledge Management, E-Commerce and the Semantic Web. Springer ISBN: 1-85253-55j-3.
  9. Zhou, C., Chia, L. T., and Lee, B. S. (2009) “QoS-Aware Web Services Discovery with Federated Support for UDDI,” Modern Technologies in Web Services Research, IGI Publishing Hershey New York.
  10. Tari,Z., A. Phan, A. K., Jayasinghe,M., Abhaya, V. G. (2011) “Benchmarking Soap Binding. On the Performance of Web Services,” pp 35-58, Springer.
  11. Donna, K. (2014) A Guide to Service Desk Concepts: Service Desk and the IT Infrastructure Library, 4th edition, Course Technology Press Boston, MA, United States, ISBN- 10: 1285063457 ISBN-13: 9781285063454.
  12. Tari. Z, Phan. A. K. A, Jayasinghe. M, Abhaya. V. G,“Benchmarking. (2011) Soap Binding. On the Performance of Web Services,” pp 35-58, Springer.
  13. Lin L, Kai S, and Sen S. (2008) “Ontology-based QoSaware support for semantic web services,” Technical Report at Beijing University of Posts and Telecommunications.
  14. Moraes, P, Sampaio, L, Monteiro, J, Portnoi M. (2008): Mononto: A domain ontology for network monitoring and recommendation for advanced internet applications users. In: Network Operations and Management Symposium Workshops, IEEE.
  15. Benaboud R, Maamri R, and Sahnoun Z. (2012)Semantic Web Service Discovery Basedon Agents and Ontologies, International Journal of Innovation, Management and Technology, Vol. 3, No. 4, pp 467- 472.
  16. Jaeger, M.C., Muehl, G.; Golze, S. (2005) QoS-Aware Composition of Web Services: An Evaluation of Selection Algorithms. OTM Conferences.
  17. Unger, T. (2005) Aggregation on QoS und SLAs in BPEL Geschaeftsprozessen Diplomarbeit Nr. 2305, Universitaet Stuttgart.
  18. Rud, D, Kunz, M, Schmietendorf, A. (2007) Dumke, R.: Performance Analysis in WS-BPEL- Based Infrastructures. In Proc. “23rd Annual UK Performance Engineering Workshop” (UKPEW 2007), pp. 130-141.
  19. Marzolla, M, Mirandola, R. (2007) Performance Prediction of Web Service Workflows, Proc. QoSA'07, Software Architectures, Components and Applications Third International Conference on Quality of Software Architectures, QoS A 2007, Medford, MA, USA, July 11-13.
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Paper Citation


in Harvard Style

Masood T., Cherifi C. and Moalla N. (2016). Performance Monitoring Framework for Service Oriented System Lifecycle . In Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development - Volume 1: MDE4SI, (MODELSWARD 2016) ISBN 978-989-758-168-7, pages 800-806. DOI: 10.5220/0005853608000806


in Bibtex Style

@conference{mde4si16,
author={Tehreem Masood and Chantal Cherifi and Nejib Moalla},
title={Performance Monitoring Framework for Service Oriented System Lifecycle},
booktitle={Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development - Volume 1: MDE4SI, (MODELSWARD 2016)},
year={2016},
pages={800-806},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005853608000806},
isbn={978-989-758-168-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development - Volume 1: MDE4SI, (MODELSWARD 2016)
TI - Performance Monitoring Framework for Service Oriented System Lifecycle
SN - 978-989-758-168-7
AU - Masood T.
AU - Cherifi C.
AU - Moalla N.
PY - 2016
SP - 800
EP - 806
DO - 10.5220/0005853608000806