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Intelligent and compliant dynamic software license consolidation in cloud environment
Based on the virtualization technology and pushed by the softwarization paradigm and the actual demand for services and resources, commercial cloud data centers know an unprecedented expansion. The systematic presence of software and the services generated enabled the development of the already dens...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313524/ http://dx.doi.org/10.1007/s00607-022-01106-0 |
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author | Helali, Leila Omri, Mohamed Nazih |
author_facet | Helali, Leila Omri, Mohamed Nazih |
author_sort | Helali, Leila |
collection | PubMed |
description | Based on the virtualization technology and pushed by the softwarization paradigm and the actual demand for services and resources, commercial cloud data centers know an unprecedented expansion. The systematic presence of software and the services generated enabled the development of the already dense application expenses. This causes, not only a cost explosion, especially when proprietary solutions protected by licenses are in hand, but also, represents a critical need in terms of software asset and resource management at the SaaS level. In addition to these costs, inefficient resource utilization, and the resulting energy represent an important part of the operational expenditure of data centers and are still a hot topic despite the consolidation initiatives put in place. The main objective of the consolidation service is to maximize resource exploitation while minimizing energy consumption and costs, among others. Even so, we have noticed that the reported literature doesn’t treat license management in the cloud environment as a whole, especially, from the resource management perspective and the overwhelming majority of the consolidation work focuses on resource optimization at the IaaS level. Therefore, we propose a reinforcement learning-based scheme that allows efficient use of resources and optimizes costs, energy consumption, and resource wastage, while remaining compliant. The experimental results show that our intelligent consolidator outperforms the baseline approaches according to the evaluation metrics used regardless of the resource heterogeneity and the data center dimensionality. |
format | Online Article Text |
id | pubmed-9313524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-93135242022-07-26 Intelligent and compliant dynamic software license consolidation in cloud environment Helali, Leila Omri, Mohamed Nazih Computing Regular Paper Based on the virtualization technology and pushed by the softwarization paradigm and the actual demand for services and resources, commercial cloud data centers know an unprecedented expansion. The systematic presence of software and the services generated enabled the development of the already dense application expenses. This causes, not only a cost explosion, especially when proprietary solutions protected by licenses are in hand, but also, represents a critical need in terms of software asset and resource management at the SaaS level. In addition to these costs, inefficient resource utilization, and the resulting energy represent an important part of the operational expenditure of data centers and are still a hot topic despite the consolidation initiatives put in place. The main objective of the consolidation service is to maximize resource exploitation while minimizing energy consumption and costs, among others. Even so, we have noticed that the reported literature doesn’t treat license management in the cloud environment as a whole, especially, from the resource management perspective and the overwhelming majority of the consolidation work focuses on resource optimization at the IaaS level. Therefore, we propose a reinforcement learning-based scheme that allows efficient use of resources and optimizes costs, energy consumption, and resource wastage, while remaining compliant. The experimental results show that our intelligent consolidator outperforms the baseline approaches according to the evaluation metrics used regardless of the resource heterogeneity and the data center dimensionality. Springer Vienna 2022-07-25 2022 /pmc/articles/PMC9313524/ http://dx.doi.org/10.1007/s00607-022-01106-0 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Regular Paper Helali, Leila Omri, Mohamed Nazih Intelligent and compliant dynamic software license consolidation in cloud environment |
title | Intelligent and compliant dynamic software license consolidation in cloud environment |
title_full | Intelligent and compliant dynamic software license consolidation in cloud environment |
title_fullStr | Intelligent and compliant dynamic software license consolidation in cloud environment |
title_full_unstemmed | Intelligent and compliant dynamic software license consolidation in cloud environment |
title_short | Intelligent and compliant dynamic software license consolidation in cloud environment |
title_sort | intelligent and compliant dynamic software license consolidation in cloud environment |
topic | Regular Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313524/ http://dx.doi.org/10.1007/s00607-022-01106-0 |
work_keys_str_mv | AT helalileila intelligentandcompliantdynamicsoftwarelicenseconsolidationincloudenvironment AT omrimohamednazih intelligentandcompliantdynamicsoftwarelicenseconsolidationincloudenvironment |