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International Conference on Service-Oriented Computing

ICSOC 2012: Service-Oriented Computing pp 206–221Cite as

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Dynamic Performance Management in Multi-tenanted Business Process Servers Using Nonlinear Control

Dynamic Performance Management in Multi-tenanted Business Process Servers Using Nonlinear Control

  • Tharindu Patikirikorala20,
  • Indika Kumara20,
  • Alan Colman20,
  • Jun Han20,
  • Liuping Wang21,
  • Denis Weerasiri22 &
  • …
  • Waruna Ranasinghe22 
  • Conference paper
  • 2290 Accesses

  • 4 Citations

Part of the Lecture Notes in Computer Science book series (LNPSE,volume 7636)

Abstract

The methodologies to develop multi-tenanted architectures have been investigated in the recent literature due to the popularity of cloud computing. A number of challenges need to be overcome if multi-tenanted architectures are to be effective and efficient. Among the challenges is the management of performance properties while effectively sharing the limited resources between the tenants. This work presents an approach to design such a management system for a multi-tenanted business process server. This approach not only enables performance to be maintained at different levels for different tenants depending on their priorities, but also autonomously detects the overloads of aggressive tenants and dynamically changes the control objectives to safeguard the business operations of other tenants. The novelty of the proposed approach is the use of the nonlinear feedback control. The experiment results indicate that the proposed nonlinear control approach achieves the objectives much better compared to the existing fixed and linear control techniques.

Keywords

  • Cloud Computing
  • Virtual Machine
  • Business Process
  • Priority Level
  • Process Instance

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. Swinburne University of Technology, Australia

    Tharindu Patikirikorala, Indika Kumara, Alan Colman & Jun Han

  2. Royal Melbourne Institute of Technology, Australia

    Liuping Wang

  3. WSO2 Inc, Palo Alto, CA, USA

    Denis Weerasiri & Waruna Ranasinghe

Authors
  1. Tharindu Patikirikorala
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  2. Indika Kumara
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  3. Alan Colman
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  4. Jun Han
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  5. Liuping Wang
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  6. Denis Weerasiri
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  7. Waruna Ranasinghe
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Editor information

Editors and Affiliations

  1. Faculty of ICT, Swinburne University of Technology, John Street, 3122, Hawthorn, VIC, Australia

    Chengfei Liu

  2. IBM Almaden Research Center, 650 Harry Road, 95120, San Jose, CA, USA

    Heiko Ludwig

  3. LIMOS - UMR 6158, Blaise Pascal University, Complexe scientifique des Cézeaux, 63177, Aubiere, France

    Farouk Toumani

  4. College of Computing and Information Sciences, Rochester Institute of Technology, 1 Lomb Memorial Drive, 14623, Rochester, NY, USA

    Qi Yu

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Patikirikorala, T. et al. (2012). Dynamic Performance Management in Multi-tenanted Business Process Servers Using Nonlinear Control. In: Liu, C., Ludwig, H., Toumani, F., Yu, Q. (eds) Service-Oriented Computing. ICSOC 2012. Lecture Notes in Computer Science, vol 7636. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34321-6_14

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  • DOI: https://doi.org/10.1007/978-3-642-34321-6_14

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  • Print ISBN: 978-3-642-34320-9

  • Online ISBN: 978-3-642-34321-6

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