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Locations for Performance Ensuring Admission Control in Load Balanced Multi-tenant Systems

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Cloud Computing and Services Science (CLOSER 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 453))

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Abstract

In the context of Software as a Service offerings, multi-tenant applications (MTAs) allow to increase the efficiency by sharing one application instance among several customers. Due to the tight coupling and sharing of resources on all layers up to the application layer, customers may influence each other with regards to the performance they observe. Existing research on performance isolation of MTAs focuses on methods and concrete algorithms. In this paper, we present concerns that are raised when serving a high amount of users in a load balancing cluster with multiple MTA instances. We identified potential positions in such an architecture where performance isolation can be enforced based on request admission control. Considering various approaches for request-to-instance allocation, our discussion shows that different positions come along with specific pros and cons that have influence on the ability to performance-isolate tenants.

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Author information

Authors and Affiliations

  1. FZI Research Center for Information Technology, Haid-und-Neu-Str. 10-14, 76131, Karlsruhe, Germany

    Manuel Loesch

  2. SAP AG, Applied Research, Dietmar-Hopp-Allee 16, 69190, Walldorf, Germany

    Rouven Krebs

Authors
  1. Manuel Loesch
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  2. Rouven Krebs
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Corresponding author

Correspondence to Manuel Loesch .

Editor information

Editors and Affiliations

  1. Dublin City University, Dublin, Ireland

    Markus Helfert

  2. LIP / Inria, Le Chesnay, France

    Frédéric Desprez

  3. Dell, Round Rock, USA

    Donald Ferguson

  4. University of Stuttgart, Stuttgart, Germany

    Frank Leymann

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© 2014 Springer International Publishing Switzerland

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Loesch, M., Krebs, R. (2014). Locations for Performance Ensuring Admission Control in Load Balanced Multi-tenant Systems. In: Helfert, M., Desprez, F., Ferguson, D., Leymann, F. (eds) Cloud Computing and Services Science. CLOSER 2013. Communications in Computer and Information Science, vol 453. Springer, Cham. https://doi.org/10.1007/978-3-319-11561-0_7

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  • DOI: https://doi.org/10.1007/978-3-319-11561-0_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11560-3

  • Online ISBN: 978-3-319-11561-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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