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A Lightweight Method for Analysing Performance Dependencies Between Services

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Advances in Service-Oriented and Cloud Computing (ESOCC 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 567))

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Abstract

For many applications, performance is paramount. For example, to improve conversion rates in e-commerce applications or to comply with service level agreements. Current trends in enterprise level architecture focus on designing and orchestrating services. These services are typically designed to be functionally isolated from each other up to a certain degree. During the design phase as well as when the application is deployed, choices have to be made how services interact and where they need to be deployed. These choices have a profound impact on the responsiveness of an application as well as on which performance can be made. In this paper we propose a methodology to describe and analyse performance dependencies between services. The resulting model can then be used to assist in designing a service oriented architecture and improving existing solutions by pointing out performance dependencies of services.

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Author information

Authors and Affiliations

  1. First8 BV, Nijmegen, The Netherlands

    Arjan Lamers

  2. Open University of the Netherlands, Heerlen, The Netherlands

    Arjan Lamers & Marko van Eekelen

  3. Radboud University Nijmegen, Nijmegen, The Netherlands

    Marko van Eekelen

Authors
  1. Arjan Lamers
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  2. Marko van Eekelen
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Corresponding author

Correspondence to Marko van Eekelen .

Editor information

Editors and Affiliations

  1. DICIEAMA, University of Messina, Messina, Italy

    Antonio Celesti

  2. Software Evolution and Architecture Lab, University of Zürich Software Evolution and Architecture Lab, Zürich, Switzerland

    Philipp Leitner

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Lamers, A., van Eekelen, M. (2016). A Lightweight Method for Analysing Performance Dependencies Between Services. In: Celesti, A., Leitner, P. (eds) Advances in Service-Oriented and Cloud Computing. ESOCC 2015. Communications in Computer and Information Science, vol 567. Springer, Cham. https://doi.org/10.1007/978-3-319-33313-7_7

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  • DOI: https://doi.org/10.1007/978-3-319-33313-7_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33312-0

  • Online ISBN: 978-3-319-33313-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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