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

Kenneth Kwame Azumah; Paulo Romero Martins Maciel; Lene Tolstrup Sorensen; Sokol Kosta

doi:10.1109/TCC.2022.3177668

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

Kenneth Kwame Azumah, Paulo Romero Martins Maciel, Lene Tolstrup Sorensen, Sokol Kosta

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

3 Citationer (Scopus)

Abstract

The hybrid cloud inherits the best aspects of both the public and private clouds. One such benefit is maintaining control of data processing in a private cloud whilst having nearly elastic resource availability in the public cloud. However, the public and private cloud combination introduces complexities such as incompatible security and control mechanisms, among others. The result is a reduced consistency of data processing and control policies in the different cloud deployment models. Cloud load-balancing is one control mechanism for routing applications to appropriate processing servers in compliance with the policies of the adopting organization. This article presents a process-mining influenced load-balancer for routing applications and data according to dynamically defined business rules. We use a high-level Colored Petri Net (CPN) to derive a model for the process mining-influenced load-balancer and validate the model employing live data from a selected hospital.

Originalsprog	Engelsk
Tidsskrift	IEEE Transactions on Cloud Computing
Vol/bind	11
Udgave nummer	2
Sider (fra-til)	1999-2010
Antal sider	12
DOI	https://doi.org/10.1109/TCC.2022.3177668
Status	Udgivet - 1 apr. 2023

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IEEE

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10.1109/TCC.2022.3177668

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3 Citationer
2 Konferenceartikel i proceeding
1 Tidsskriftartikel

Process mining-constrained scheduling in the hybrid cloud
Azumah, K. K., Sørensen, L. T., Montella, R. & Kosta, S., 2021, I: Concurrency Computation. 33, 4, e6025.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
6 Citationer (Scopus)
Load balancing in Hybrid Clouds through Process Mining Monitoring
Azumah, K. K., Kosta, S. & Sørensen, L. T., 10 nov. 2019, The 12th International Conference on Internet and Distributed Computing Systems . Montella, R., Ciaramella, A., Fortino, G., Guerrieri, A. & Liotta, A. (red.). Springer, Bind 11874. s. 148-157 10 s. (Lecture Notes in Computer Science).
Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
1 Citationer (Scopus)
Scheduling in the hybrid cloud constrained by process mining
Azumah, K. K., Kosta, S. & Sorenson, L. T., 26 dec. 2018, Proceedings - IEEE 10th International Conference on Cloud Computing Technology and Science, CloudCom 2018. IEEE, s. 308-313 6 s. 8591035. (IEEE International Conference on Cloud Computing Technology and Science (CloudCom)).
Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
5 Citationer (Scopus)

Citationsformater

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

Abstract

Bibliografisk note

Adgang til dokumentet

AUB Link

Andre filer og links

Fingeraftryk

Publikation

Process mining-constrained scheduling in the hybrid cloud

Load balancing in Hybrid Clouds through Process Mining Monitoring

Scheduling in the hybrid cloud constrained by process mining

Citationsformater