Towards Dynamic QoS Monitoring in Service Oriented Architectures

Norman Ahmed, Bharat Bhargava


Service Oriented Architecture (SOA) is an architectural style that provides agility to align technical solutions to modular business Web Services (WS) that are well decoupled from their consumers. This agility is established by interconnecting WS family of standards specification protocols (commonly referred to as WS-* (WS-star)) to enable security, ease of service interoperability and orchestration complexities when extending services across organizational boundaries. While orchestrating services or chaining services in varying ways to satisfy different business needs, on highly scalable cloud platforms is undeniably useful, it is increasingly challenging to effectively monitor Quality of Service (QoS), especially, service response time. This is due to a) lack of proper formulation of the WS-star interconnections mechanisms, and b) the transient performance behaviour intrinsic to the heterogeneity of the hardware and shared virtualized network and IO resources built on the cloud platforms. We present an analysis of WS-star standards, classifying and discussing their inter-dependencies to provide a basis for QoS monitoring context on protocol formulation. We then illustrate a practical implementation of a dynamic QoS monitoring mechanism using runtime service instrumentation with Aspect Oriented Programming (AOP). Preliminary evaluations show the efficiency of computing QoS on a transient performance cloud platform.


  1. Abdelzaher, T. F., & Shin, K. G., 1999. QoS Provisioning with qContracts in Web and Multimedia Servers. In the 20th IEEE Real-Time Systems Symposium.
  2. Alexanderson, R., Ohman, P., and Karlson, J., 2010. Aspect Oriented Implementation of Fault Tolerance: An assessment Overhead. In Computer Safety, Reliability, and Security. Lecture Notes in Computer Science, Volume 6351, pp 466-479.
  3. Alistair C., 2011. Cloud Performance From the Users Prospective. cloud-performance-from-the-end-user-perspective/.
  4. AspectJ, 2001.
  5. Azarmi, M., Angin, P., Bhargava, B., Ahmed, N., et al., 2012. End-to-End Security in Service Oriented Architecture, In SRDS12, the 31st IEEE Int. Symposium on Reliable Distributed Systems.
  6. Brahmi, Z., 2013. QoS-aware Automatic Web Service Composition based on Cooperative Agents. In WETICE, The 22nd IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises.
  7. Erl, T., 2005. Service-Oriented Architecture: Concepts, Technology, and Design, Prentice Hall.
  8. Erl T., et al, 2012. SOA with REST, Prentice Hall. 1st ed.
  9. Fung, C. et al., 2005. A Study of Service Composition with QoS Management. In ICWS'05, IEEE International Conference on Web Services.
  10. Gamble, R. and Baird, R., 2011. Developing Security Meta-language Framework. In Proceedings of the 44th Hawaii Int. Conference on System Sciences.
  11. JbossAOP, 2003.
  12. Kiczales, et al., 1997. Aspect-Oriented Programming. In ECOOP'97, Object-Oriented Programming, lecture Notes in CS. Vol. 1241, pp. 220-242.
  13. Lamanna, D., Skene, J., and Emmerich, W., 2003. SLAng: A Language for Service Level Agreements. In the 9th IEEE Workshop on Future Trends of Distributed Computing Systems. FTDCS.
  14. Li, F., et al., 2007. Q-Peer: A Decentralized QoS Registry Architecture for Web Services. In ICSOC'07, International Conference on Service Oriented Computing. LNCS 4749,pp.145-156.
  15. Liu, H., Pallikara, S., and Fox, G., 2005. Performance of Web Service Security. In Proceedings of the 13th Annual Mardi Gras Conference.
  16. Mei, Y. et al., 2013, Performance Analysis of Network I/O Workloads in Virtualized Data Centers. In IEEE Transactions on Service Computing.
  17. Mietzner, et al., 2010. Combining Horizontal and Vertical Composition of Services. In Proceedings of the IEEE International Conference on Service-Oriented Computing and Applications.
  18. Modica, G., et al., 2007. Dynamic Re-negotiations of SLA in Service Composition Scenarios. In SEAA07, EuroMICRO conference of Software Engineering and Advance Applications.
  19., 2007. Security Assertion Markup Language (SAML). https://www.oasis-open. org/committees/download.php/27819/sstc-saml- techoverview-2.0-cd-02.pdf.
  20., 2012. eXtensible Access Control Language (XACML). mittees/tc_home.php?wg_abbrev=xacml#C URRENT.
  21. Overton, C. 2002, On the Theory of Internet SLAs. Journal of Computer Resource Measurement, (106): 32-45.
  22. ShaikhAli, A., Rana, O. F., Al-Ali, R., and Walker, D. W., 2003. Uddie: An Extended Registry for Web Services. In Proceedings of IEEE Workshop on Applications and the Internet. pp. 85-89.
  23. Spillner, J., & Schill, A., 2009, Dynamic SLA Template Adjustments based on Service Property Bonitoring. In CLOUD'09. IEEE International Conference on Cloud Computing. pp. 183-189.
  24. Tian, M. et al., 2004. Efficient Selection and Monitoring of QoS-aware with the WS-QoS Framework. In WI'04, IEEE/WIC/ACM International Conference on Web Intelligence. pp.152-158.
  25. WS Architecture, 2002.
  26. Zhonghong, O., et al., 2012. Exploiting Hardware Heterogeneity within the Same Instance Type of Amazon EC2. In Proceedings of the 4th USENIX Conference on Hot Topics in Cloud Computing.

Paper Citation

in Harvard Style

Ahmed N. and Bhargava B. (2015). Towards Dynamic QoS Monitoring in Service Oriented Architectures . In Proceedings of the 5th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-104-5, pages 163-171. DOI: 10.5220/0005460001630171

in Bibtex Style

author={Norman Ahmed and Bharat Bhargava},
title={Towards Dynamic QoS Monitoring in Service Oriented Architectures},
booktitle={Proceedings of the 5th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},

in EndNote Style

JO - Proceedings of the 5th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Towards Dynamic QoS Monitoring in Service Oriented Architectures
SN - 978-989-758-104-5
AU - Ahmed N.
AU - Bhargava B.
PY - 2015
SP - 163
EP - 171
DO - 10.5220/0005460001630171