A nucleolus-based approach for cloud resource allocation

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dc.contributor.authorArtiushenko, Bohdanen_US
dc.date.accessioned2025-05-21T10:47:53Z
dc.date.available2025-05-21T10:47:53Z
dc.date.issued2024
dc.descriptionХмарні обчислення змінили процес менеджменту інфраструктури та ввели нові виклики, зокрема керування витратами на хмару. В роботі розглянуто розподіл хмарних ресурсів із метою оптимізації витрат. Показано, що розподіл хмарних ресурсів можливо розглядати як приклад кооперативної гри. Запропоновано підхід на базі нуклеолуса для розв’язання задачі максимізації найгіршого ексцесу коаліції при розподілі хмарних ресурсів. Розглянуто й досліджено приклади наближені до реальних із порівнянням з поширеними підходами.uk_UA
dc.description.abstractCloud computing has transformed organizational operations by enabling flexible resource allocation and reducing upfront hardware investments. However, the growing complexity of resource management, particularly for computing instances, has led to challenges in cost control and resource allocation. Fair allocation policies, such as max-min fairness and Dominant Resource Fairness, aim to distribute resources fairly among users. In recent years, the FinOps framework has emerged to address cloud cost management, empowering teams to manage their own resource usage and budgets. The allocation of resources among competing product teams within an organization can be modelled as a cooperative game, where teams with competing priorities must negotiate resource allocation based on their claims and the available budget. The article explores cloud resource allocation as a cooperative game, particularly in situations where the total budget is insufficient to meet all teams’ demands. Several resource allocation methods are discussed, including the proportional rule and the nucleolus-based approach, which seeks to minimize the coalitions’ incentives to deviate. The nucleolus method offers a stable and fair solution by distributing resources in a way that maximizes stability and reduces the likelihood of coalitions deviating from the overall allocation. This approach ensures that no team is allocated more than its claim and maintains fairness by adhering to principles such as claim boundaries, monotonicity, and resource constraints. Ultimately, the nucleolus-based method is proposed as an effective solution for allocating cloud resources in a cooperative and stable manner, ensuring that resource allocation is both fair and efficient.en_US
dc.identifier.citationArtiushenko B. A. A nucleolus-based approach for cloud resource allocation / B. Artiushenko // Наукові записки НаУКМА. Комп'ютерні науки. - 2024. - Т. 7. - С. 25-30. - https://doi.org/10.18523/2617-3808.2024.7.25-30
dc.identifier.issn2617-3808
dc.identifier.issn2617-7323
dc.identifier.urihttps://doi.org/10.18523/2617-3808.2024.7.25-30
dc.identifier.urihttps://ekmair.ukma.edu.ua/handle/123456789/34789
dc.language.isoen_USen_US
dc.relation.sourceНаукові записки НаУКМА. Комп'ютерні науки. Том 7uk_UA
dc.statusfirst publisheden_US
dc.subjectcloud computingen_US
dc.subjectresource allocationen_US
dc.subjectbankruptcy issueen_US
dc.subjectcooperative gameen_US
dc.subjectnucleolusen_US
dc.subjectarticleen_US
dc.subjectхмарні технологіїuk_UA
dc.subjectрозподіл ресурсівuk_UA
dc.subjectкооперативна граuk_UA
dc.subjectнуклеолусuk_UA
dc.titleA nucleolus-based approach for cloud resource allocationen_US
dc.title.alternativeРозподіл хмарних ресурсів на базі нуклеолусаuk_UA
dc.typeArticleen_US
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