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SLAs for cross-layer adaptation and monitoring of service-based applications: a case study

Published:14 September 2011Publication History

ABSTRACT

Cross-layer adaptation and monitoring (CLAM) is an approach to the run-time quality assurance of service-based applications (SBAs). The aim of CLAM is to monitor the different layers of an SBA and correlate the monitoring results, such that in the event that a problem occurs an effective adaptation strategy is inferred for enacting a coordinated adaptation across all layers of the SBA. An important aspect of CLAM is the definition of the appropriate Service-Level Agreements (SLAs) for third party services utilised in the different layers of the SBAs. In this paper, we present insights into how to define SLAs for CLAM, by analysing SBAs in order to differentiate the third party business, software and infrastructure services utilised by the SBA. As a case study, we apply the analytical approach to an existing platform-as-a-service framework, which has been developed as an SBA and could benefit from CLAM. The analysis reveals the different third party services and their characteristics, as a precursor to defining SLAs. The case study successfully demonstrates how distinct SLAs for business, software and infrastructure services may be applied respectively in the BPM, SCC and SI layers of an SBA, to provide a flexible monitoring and adaptation response across layers.

References

  1. Deliverable D1.1 Requirements Analysis. CAST Project, 2009.Google ScholarGoogle Scholar
  2. Deliverable D2.1 CAST Platform Architecture. CAST Project, 2010.Google ScholarGoogle Scholar
  3. K. Bratanis, D. Dranidis, and A. J. H. Simons. An extensible architecture for run-time monitoring of conversational web services. In Proceedings of the 3rd International Workshop on Monitoring, Adaptation and Beyond/ECOWS 2010, pages 9--16. ACM, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. M. Fugini and H. Siadat. SLA contract for Cross-Layer monitoring and adaptation. In S. Rinderle-Ma, S. Sadiq, and F. Leymann, editors, Business Process Management Workshops, volume 43, pages 412--423. Springer Berlin/Heidelberg, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  5. E. Gjørven, R. Rouvoy, and F. Eliassen. Cross-layer self-adaptation of service-oriented architectures. In Proceedings of the 3rd workshop on Middleware for service oriented computing, MW4SOC '08, pages 37--42. ACM, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. R. Kazhamiakin, M. Pistore, and A. Zengin. Cross-layer adaptation and monitoring of service-based applications. In Proceedings of the 2009 international conference on Service-oriented computing, ICSOC/ServiceWave'09, pages 325--334, Berlin, Heidelberg, 2009. Springer-Verlag. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. C. Kotsokalis, editor. D.A5a SLA Management Foundations. SLA@SOI, 2010.Google ScholarGoogle Scholar
  8. D. Kourtesis, V. Kuttruff, and I. Paraskakis. Optimising development and deployment of enterprise software applications on PaaS: the CAST project. In ServiceWave 2010 Workshop Proceedings. Springer Berlin/Heidelberg, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. M. Papazoglou, K. Pohl, M. Parkin, and A. Metzger, editors. Service research challenges and solutions for the future internet: S-cube - towards engineering, managing and adapting service-based systems. Springer-Verlag, Berlin, Heidelberg, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. R. Popescu, A. Staikopoulos, P. Liu, A. Brogi, and S. Clarke. Taxonomy-Driven adaptation of multi-layer applications using templates. In Proceedings of the IEEE International Conference on Self-Adaptive and Self-Organizing Systems, pages 213--222, Los Alamitos, CA, USA, 2010. IEEE Computer Society. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. E. Schmieders, A. Micsik, M. Oriol, K. Mahbub, and R. Kazhamiakin. Combining SLA prediction and cross layer adaptation for preventing SLA violations. In Proceedings of the 2nd Workshop on Software Services: Cloud Computing and Applications based on Software Services, Timisoara, Romania, June 2011.Google ScholarGoogle Scholar

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  1. SLAs for cross-layer adaptation and monitoring of service-based applications: a case study

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      • Published in

        cover image ACM Other conferences
        QASBA '11: Proceedings of the International Workshop on Quality Assurance for Service-Based Applications
        September 2011
        49 pages
        ISBN:9781450308267
        DOI:10.1145/2031746

        Copyright © 2011 ACM

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        Publication History

        • Published: 14 September 2011

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