Risk Assessment in Service Provider Communities

  • Ioan Petri
  • Omer F. Rana
  • Yacine Rezgui
  • Gheorghe Cosmin Silaghi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7150)


On-line service delivery undertaken between clients and service providers often incurs risks for both the client and the provider, especially when such an exchange takes place in the context of an electronic service market. For the client, the risk involves determining whether the requested service will be delivered on time and based on the previously agreed Service Level Agreement (SLA). Often risk to the client can be mitigated through the use of a penalty clause in an SLA. For the provider, the risk revolves around ensuring that the client will pay the advertised price and more importantly whether the provider will be able to deliver the advertised service to not incur the penalty identified in the SLA. This becomes more significant when the service providers outsource the actual enactment/execution to a data centre – a trend that has become dominant in recent years, with the emergence of infrastructure providers such as In this work we investigate the notion of “risk” from a variety of different perspectives and demonstrate how risk to a service owner (who uses an external, third party data centre for service hosting) can be managed more effectively. A simulation based approach is used to validate our findings.


Service Level Agreement Risk Management Fault Tolerance 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Petri, I., Rana, O., Cosmin Silaghi, G.: SLA as a Complementary Currency in Peer-2-Peer Markets. In: Altmann, J., Rana, O.F. (eds.) GECON 2010. LNCS, vol. 6296, pp. 141–152. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  2. 2.
    Yang, Z., Tian, J., Zhao, B.Y., Chen, W., Dai, Y.: Protector: A Probabilistic Failure Detector for Cost-Effective Peer-to-Peer Storage. IEEE Trans. Parallel Distrib. Syst. 22(9), 1514–1527 (2011)CrossRefGoogle Scholar
  3. 3.
    Jelasity, M., Montresor, A., Babaoglu, O.: Gossip-based aggregation in large dynamic networks. ACM Transactions on Computer Systems 23(3), 219–252 (2005)CrossRefGoogle Scholar
  4. 4.
    Jelasity, M., Voulgaris, S., Guerraoui, R., Kermarrec, A.-M., van Steen, M.: Gossip-based peer sampling. ACM Transactions on Computer Systems 25(3), 8 (2007)CrossRefGoogle Scholar
  5. 5.
    Djemame, K., Padgett, J., Gourlay, I., Armstrong, D.: Brokering of risk-aware service level agreements in Grids. Concurrency and Computation: Practice and Experience 23(13), 1558–1582 (2011)CrossRefGoogle Scholar
  6. 6.
    Djemame, K., Gourlay, I., Padgett, J., Birkenheuer, G., Hovestadt, M., Kao, O., Vo, K.: Introducing risk management into the grid. In: Proceedings of the Second IEEE International Conference on e-Science and Grid Computing (eScience 2006). IEEE Computer Society, Amsterdam (2006)Google Scholar
  7. 7.
    Li, B., Gillam, L.: Risk Informed Computer Economics. In: Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGRID 2009, pp. 526–531. IEEE Computer Society, Washington, DC (2009)Google Scholar
  8. 8.
    Eymann, T., Konig, S., Matros, R.: A Framework for Trust and Reputation in Grid Environments. Journal of Grid Computing 6(3), 225–237 (2008)CrossRefGoogle Scholar
  9. 9.
    Li, X., Ling, L.: PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities. IEEE Transactions on Knowledge and Data Engineering, 843–857 (2004)Google Scholar
  10. 10.
    Elwaer, A., Taylor, I., Rana, O.: Preference driven Server Selection in Peer-2-Peer Data Sharing Systems. In: 4th Int. Workshop on Data-Intensive Distributed Computing (DIDC) – Alongside the HPDC Conference, San Jose, California, USA (2011)Google Scholar
  11. 11.
    Petri, I., Rana, O., Rezgui, Y., Cosmin Silaghi, G.: Evaluating Trust in Peer-to-Peer Service Provider Communities. In: Proceedings of TrustCol Workshop, Orlando, Florida, USA (October 2011)Google Scholar
  12. 12.
    Risch, M., Altmann, J.: Cost Analysis of Current Grids and Its Implications for Future Grid Markets. In: Altmann, J., Neumann, D., Fahringer, T. (eds.) GECON 2008. LNCS, vol. 5206, pp. 13–27. Springer, Heidelberg (2008)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Ioan Petri
    • 1
    • 2
  • Omer F. Rana
    • 3
  • Yacine Rezgui
    • 1
  • Gheorghe Cosmin Silaghi
    • 2
  1. 1.School of EngineeringCardiff UniversityUK
  2. 2.Business Information SystemsBabes-Bolyai UniversityRomania
  3. 3.School of Computer Science & InformaticsCardiff UniversityUK

Personalised recommendations