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Scheduling of Composite Web Services

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4277))

Abstract

Composite Web Services (CWS) aggregate multiple Web Services (WS) in one logical unit to accomplish a complex task (e.g. business process). This aggregation is achieved by defining a workflow that orchestrates the underlying Web Services in a manner consistent with the desired functionality. Since CWS can aggregate atomic WS and/or other CWS they foster the development of service layers and reuse of already existing functionality. An important issue in the deployment of services is their run-time performance under various loads. Due to the complex interactions of the underlying services, a CWS they can exhibit problematic and often difficult to predict behaviours in overload situations.

This paper focuses on the use of request scheduling for improving CWS performance in overload situations. Different scheduling policies are investigated in regards to their effectiveness in helping with bulk arrivals.

An erratum to this chapter can be found at http://dx.doi.org/10.1007/11915034_125.

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References

  1. Heiss, H.-U., Wagner, R.: Adaptive load control in transaction processing systems. In: 17th International Conference on Very Large Databases, Barcelona, Spain (September 1991)

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  2. Brucker, P.: Scheduling Algorithms, 3rd edn. Springer, Berlin (2001)

    MATH  Google Scholar 

  3. TPC-APP, http://www.tpc.org/tpc_app/

  4. Workflow Patterns, www.workflowpatterns.com/

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© 2006 Springer-Verlag Berlin Heidelberg

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Dyachuk, D., Deters, R. (2006). Scheduling of Composite Web Services. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops. OTM 2006. Lecture Notes in Computer Science, vol 4277. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11915034_9

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  • DOI: https://doi.org/10.1007/11915034_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48269-7

  • Online ISBN: 978-3-540-48272-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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