Load balancing in Hybrid Clouds through Process Mining Monitoring

Kenneth Kwame Azumah; Sokol Kosta; Lene Tolstrup Sørensen

doi:10.1007/978-3-030-34914-1_15

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 proceeding › Article in proceeding › Research › peer-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 language	English
Title of host publication	The 12th International Conference on Internet and Distributed Computing Systems
Editors	Raffaele Montella, Angelo Ciaramella, Giancarlo Fortino, Antonio Guerrieri, Antonio Liotta
Number of pages	10
Volume	11874
Publisher	Springer
Publication date	10 Nov 2019
Pages	148-157
ISBN (Print)	9783030349134
ISBN (Electronic)	978-3-030-34914-1
DOIs	https://doi.org/10.1007/978-3-030-34914-1_15
Publication status	Published - 10 Nov 2019
Event	The 12th International Conference on Internet and Distributed Computing Systems - Naples, Italy Duration: 10 Oct 2019 → 12 Oct 2019 Conference number: 12 https://idcs2019.uniparthenope.it/

Conference

Conference	The 12th International Conference on Internet and Distributed Computing Systems
Number	12
Country/Territory	Italy
City	Naples
Period	10/10/2019 → 12/10/2019
Internet address	https://idcs2019.uniparthenope.it/

Series	Lecture Notes in Computer Science
ISSN	0302-9743

Keywords

Event calculus
Hybrid cloud
OpenStack Octavia
Process mining

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10.1007/978-3-030-34914-1_15

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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 . editor / Raffaele Montella ; Angelo Ciaramella ; Giancarlo Fortino ; Antonio Guerrieri ; Antonio Liotta. Vol. 11874 Springer, 2019. pp. 148-157 (Lecture Notes in Computer Science).

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title = "Load balancing in Hybrid Clouds through Process Mining Monitoring",

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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Azumah, KK, Kosta, S & Sørensen, LT 2019, Load balancing in Hybrid Clouds through Process Mining Monitoring. in R Montella, A Ciaramella, G Fortino, A Guerrieri & A Liotta (eds), 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 . ed. / Raffaele Montella; Angelo Ciaramella; Giancarlo Fortino; Antonio Guerrieri; Antonio Liotta. Vol. 11874 Springer, 2019. p. 148-157 (Lecture Notes in Computer Science).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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AU - Azumah, Kenneth Kwame

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AU - Sørensen, Lene Tolstrup

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PY - 2019/11/10

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N2 - 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.

AB - 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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BT - The 12th International Conference on Internet and Distributed Computing Systems

A2 - Montella, Raffaele

A2 - Ciaramella, Angelo

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PB - Springer

T2 - The 12th International Conference on Internet and Distributed Computing Systems

Y2 - 10 October 2019 through 12 October 2019

ER -

Load balancing in Hybrid Clouds through Process Mining Monitoring

Abstract

Conference

Keywords

Access to Document

AUB Link

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Modeling and Simulating a Process Mining-Influenced Load-Balancer for the Hybrid Cloud

Cite this