Load balancing in Hybrid Clouds through Process Mining Monitoring

Kenneth Kwame Azumah, Sokol Kosta, Lene Tolstrup Sørensen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication The 12th International Conference on Internet and Distributed Computing Systems
EditorsRaffaele Montella, Angelo Ciaramella, Giancarlo Fortino, Antonio Guerrieri, Antonio Liotta
Number of pages10
Volume 11874
PublisherSpringer
Publication date10 Nov 2019
Pages 148-157
ISBN (Print)9783030349134
ISBN (Electronic)978-3-030-34914-1
DOIs
Publication statusPublished - 10 Nov 2019
EventThe 12th International Conference on Internet and Distributed Computing Systems - Naples, Italy
Duration: 10 Oct 201912 Oct 2019
Conference number: 12
https://idcs2019.uniparthenope.it/

Conference

ConferenceThe 12th International Conference on Internet and Distributed Computing Systems
Number12
Country/TerritoryItaly
CityNaples
Period10/10/201912/10/2019
Internet address
SeriesLecture Notes in Computer Science
ISSN0302-9743

Keywords

  • Event calculus
  • Hybrid cloud
  • OpenStack Octavia
  • Process mining

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