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

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

1 Citationer (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.

Originalsprog	Engelsk
Titel	The 12th International Conference on Internet and Distributed Computing Systems
Redaktører	Raffaele Montella, Angelo Ciaramella, Giancarlo Fortino, Antonio Guerrieri, Antonio Liotta
Antal sider	10
Vol/bind	11874
Forlag	Springer
Publikationsdato	10 nov. 2019
Sider	148-157
ISBN (Trykt)	9783030349134
ISBN (Elektronisk)	978-3-030-34914-1
DOI	https://doi.org/10.1007/978-3-030-34914-1_15
Status	Udgivet - 10 nov. 2019
Begivenhed	The 12th International Conference on Internet and Distributed Computing Systems - Naples, Italien Varighed: 10 okt. 2019 → 12 okt. 2019 Konferencens nummer: 12 https://idcs2019.uniparthenope.it/

Konference

Konference	The 12th International Conference on Internet and Distributed Computing Systems
Nummer	12
Land/Område	Italien
By	Naples
Periode	10/10/2019 → 12/10/2019
Internetadresse	https://idcs2019.uniparthenope.it/

Navn	Lecture Notes in Computer Science
ISSN	0302-9743

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

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1 Citationer
1 Tidsskriftartikel

Modeling and Simulating a Process Mining-Influenced Load-Balancer for the Hybrid Cloud
Azumah, K. K., Maciel, P. R. M., Sorensen, L. T. & Kosta, S., 1 apr. 2023, I: IEEE Transactions on Cloud Computing. 11, 2, s. 1999-2010 12 s.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
3 Citationer (Scopus)

Citationsformater

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 . red. / Raffaele Montella ; Angelo Ciaramella ; Giancarlo Fortino ; Antonio Guerrieri ; Antonio Liotta. Bind 11874 Springer, 2019. s. 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.",

keywords = "Event calculus, Hybrid cloud, OpenStack Octavia, Process mining",

author = "Azumah, {Kenneth Kwame} and Sokol Kosta and S{\o}rensen, {Lene Tolstrup}",

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doi = "10.1007/978-3-030-34914-1_15",

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note = "The 12th International Conference on Internet and Distributed Computing Systems, IDCS2019 ; Conference date: 10-10-2019 Through 12-10-2019",

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Azumah, KK, Kosta, S & Sørensen, LT 2019, Load balancing in Hybrid Clouds through Process Mining Monitoring. i R Montella, A Ciaramella, G Fortino, A Guerrieri & A Liotta (red), The 12th International Conference on Internet and Distributed Computing Systems . bind 11874, Springer, Lecture Notes in Computer Science, s. 148-157, The 12th International Conference on Internet and Distributed Computing Systems, Naples, Italien, 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 . red. / Raffaele Montella; Angelo Ciaramella; Giancarlo Fortino; Antonio Guerrieri; Antonio Liotta. Bind 11874 Springer, 2019. s. 148-157 (Lecture Notes in Computer Science).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Load balancing in Hybrid Clouds through Process Mining Monitoring

AU - Azumah, Kenneth Kwame

AU - Kosta, Sokol

AU - Sørensen, Lene Tolstrup

N1 - Conference code: 12

PY - 2019/11/10

Y1 - 2019/11/10

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.

KW - Event calculus

KW - Hybrid cloud

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KW - Process mining

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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

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

Citationsformater