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Load Balancing in Hybrid Clouds Through Process Mining Monitoring

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Internet and Distributed Computing Systems (IDCS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11874))

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Abstract

An increasing number of organisations are harnessing the benefits of hybrid cloud adoption to support their business goals and achieving privacy and control in a private cloud whilst enjoying the on-demand scalability of the public cloud. However the complexity introduced by the combination of the public and private clouds worsens visibility in cloud monitoring with regards compliance to given business constraints. Load balancing as a technique for evenly distributing workloads can be leveraged together with processing mining to help ease the monitoring challenge. In this paper we propose a load balancing approach to distribute workloads in order to minimise violations to specified business constraints. The scenario of a hospital consultation process is employed as a use case in monitoring and controlling Octavia load balancing-as-a-service in OpenStack. The results show a co-occurrence of constraint violations and Octavia L7 Policy creation, indicating a successful application of process mining monitoring in load balancing.

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Notes

  1. 1.

    https://www.win.tue.nl/declare/.

  2. 2.

    https://docs.openstack.org/devstack/latest/.

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Authors and Affiliations

  1. CMI, Aalborg University, Copenhagen, Denmark

    Kenneth K. Azumah, Sokol Kosta & Lene T. Sørensen

Authors
  1. Kenneth K. Azumah
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  2. Sokol Kosta
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  3. Lene T. Sørensen
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Corresponding author

Correspondence to Kenneth K. Azumah .

Editor information

Editors and Affiliations

  1. Department of Science and Technology, Parthenope University of Naples, Napoli, Italy

    Raffaele Montella

  2. Parthenope University of Naples, Napoli, Italy

    Angelo Ciaramella

  3. University of Calabria, Rende, Italy

    Giancarlo Fortino

  4. ICAR, Consiglio Nazionale delle Ricerche, Rende, Cosenza, Italy

    Antonio Guerrieri

  5. Edinburgh Napier University, Edinburgh, UK

    Antonio Liotta

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Azumah, K.K., Kosta, S., Sørensen, L.T. (2019). Load Balancing in Hybrid Clouds Through Process Mining Monitoring. In: Montella, R., Ciaramella, A., Fortino, G., Guerrieri, A., Liotta, A. (eds) Internet and Distributed Computing Systems . IDCS 2019. Lecture Notes in Computer Science(), vol 11874. Springer, Cham. https://doi.org/10.1007/978-3-030-34914-1_15

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  • DOI: https://doi.org/10.1007/978-3-030-34914-1_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34913-4

  • Online ISBN: 978-3-030-34914-1

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