Load balancing in Hybrid Clouds through Process Mining Monitoring

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

Abstract

Due to the benefits of hybrid cloud computing, it is employed
as a business strategy for adopting the hybrid cloud. Chief among the
adoption objectives are achieving privacy and control in a private cloud
whilst enjoying the on-demand scalability of the public cloud. The complexity introduced by the combination of the public and private clouds, however, exacerbates poor visibility in cloud monitoring especially with
compliance to given business constraints. Load balancing as a technique
for evenly distributing workloads can be leveraged together with pro-
cessing 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 a load balancer in OpenStack. The results show 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
Number of pages10
Volume 11874
PublisherSpringer
Publication date10 Nov 2019
Pages 148-157
ISBN (Print)978-3-030-34914-1, 978-3-030-34913-4
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
CountryItaly
CityNaples
Period10/10/201912/10/2019
Internet address
SeriesLecture Notes in Computer Science
ISSN0302-9743

Fingerprint

Resource allocation
Monitoring
Industry
Cloud computing
Visibility
Scalability

Cite this

Azumah, K. K., Kosta, S., & Sørensen, L. T. (2019). Load balancing in Hybrid Clouds through Process Mining Monitoring. In The 12th International Conference on Internet and Distributed Computing Systems (Vol. 11874, pp. 148-157). Springer. Lecture Notes in Computer Science https://doi.org/10.1007/978-3-030-34914-1_15
Azumah, Kenneth Kwame ; Kosta, Sokol ; Sørensen, Lene Tolstrup. / Load balancing in Hybrid Clouds through Process Mining Monitoring. The 12th International Conference on Internet and Distributed Computing Systems . Vol. 11874 Springer, 2019. pp. 148-157 (Lecture Notes in Computer Science).
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Azumah, KK, Kosta, S & Sørensen, LT 2019, Load balancing in Hybrid Clouds through Process Mining Monitoring. in The 12th International Conference on Internet and Distributed Computing Systems . vol. 11874, Springer, Lecture Notes in Computer Science, pp. 148-157, The 12th International Conference on Internet and Distributed Computing Systems, Naples, Italy, 10/10/2019. https://doi.org/10.1007/978-3-030-34914-1_15

Load balancing in Hybrid Clouds through Process Mining Monitoring. / Azumah, Kenneth Kwame; Kosta, Sokol; Sørensen, Lene Tolstrup.

The 12th International Conference on Internet and Distributed Computing Systems . Vol. 11874 Springer, 2019. p. 148-157 (Lecture Notes in Computer Science).

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

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Azumah KK, Kosta S, Sørensen LT. Load balancing in Hybrid Clouds through Process Mining Monitoring. In The 12th International Conference on Internet and Distributed Computing Systems . Vol. 11874. Springer. 2019. p. 148-157. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-030-34914-1_15