Quantum Game Theory-Based Cloud Resource Allocation: A Novel Approach
This paper explores the application of quantum game theory to optimize cloud resource allocation. By leveraging the principles of quantum mechanics, the proposed framework aims to enhance efficiency, reduce costs, and improve scalability in cloud computing environments. The study introduces a quantu...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/13/9/1392 |
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| author | Anjan Bandyopadhyay Utkarsh Choudhary Vaibhav Tiwari Kaushtab Mukherjee Sapthak Mohajon Turjya Naim Ahmad Abid Haleem Saurav Mallik |
| author_facet | Anjan Bandyopadhyay Utkarsh Choudhary Vaibhav Tiwari Kaushtab Mukherjee Sapthak Mohajon Turjya Naim Ahmad Abid Haleem Saurav Mallik |
| author_sort | Anjan Bandyopadhyay |
| collection | DOAJ |
| description | This paper explores the application of quantum game theory to optimize cloud resource allocation. By leveraging the principles of quantum mechanics, the proposed framework aims to enhance efficiency, reduce costs, and improve scalability in cloud computing environments. The study introduces a quantum-based game-theoretic model and compares its performance with classical approaches. The results demonstrate significant improvements in resource utilization and decision-making efficiency. While prior works have explored classical game theory and auction-based methods, this study is among the first to implement quantum game theory in a practical cloud computing context, propose a resource allocation mechanism that incorporates both fairness and efficiency while leveraging the computational advantages of quantum systems, and highlight the strategic benefits of quantum entanglement in fostering collaboration between competing entities in cloud environments. This work not only addresses the current limitations of resource allocation but also redefines the possibilities for optimization in complex systems, making a substantial contribution to both quantum computing and cloud resource management domains. |
| format | Article |
| id | doaj-art-0b764d3da8cb4f76ba078d9199b0d54f |
| institution | OA Journals |
| issn | 2227-7390 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj-art-0b764d3da8cb4f76ba078d9199b0d54f2025-08-20T01:49:11ZengMDPI AGMathematics2227-73902025-04-01139139210.3390/math13091392Quantum Game Theory-Based Cloud Resource Allocation: A Novel ApproachAnjan Bandyopadhyay0Utkarsh Choudhary1Vaibhav Tiwari2Kaushtab Mukherjee3Sapthak Mohajon Turjya4Naim Ahmad5Abid Haleem6Saurav Mallik7School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, Odisha, IndiaSchool of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, Odisha, IndiaSchool of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, Odisha, IndiaSchool of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, Odisha, IndiaSchool of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, Odisha, IndiaCollege of Computer Science, King Khalid University, Abha 62521, Saudi ArabiaDepartment of Mechanical Engineering, Jamia Millia Islamia, New Delhi 110025, IndiaDepartment of Environmental Health, Harvard T H Chan School of Public Health, Boston, MA 02115, USAThis paper explores the application of quantum game theory to optimize cloud resource allocation. By leveraging the principles of quantum mechanics, the proposed framework aims to enhance efficiency, reduce costs, and improve scalability in cloud computing environments. The study introduces a quantum-based game-theoretic model and compares its performance with classical approaches. The results demonstrate significant improvements in resource utilization and decision-making efficiency. While prior works have explored classical game theory and auction-based methods, this study is among the first to implement quantum game theory in a practical cloud computing context, propose a resource allocation mechanism that incorporates both fairness and efficiency while leveraging the computational advantages of quantum systems, and highlight the strategic benefits of quantum entanglement in fostering collaboration between competing entities in cloud environments. This work not only addresses the current limitations of resource allocation but also redefines the possibilities for optimization in complex systems, making a substantial contribution to both quantum computing and cloud resource management domains.https://www.mdpi.com/2227-7390/13/9/1392quantum computinggame theorycloud resource allocationclassical game theory |
| spellingShingle | Anjan Bandyopadhyay Utkarsh Choudhary Vaibhav Tiwari Kaushtab Mukherjee Sapthak Mohajon Turjya Naim Ahmad Abid Haleem Saurav Mallik Quantum Game Theory-Based Cloud Resource Allocation: A Novel Approach Mathematics quantum computing game theory cloud resource allocation classical game theory |
| title | Quantum Game Theory-Based Cloud Resource Allocation: A Novel Approach |
| title_full | Quantum Game Theory-Based Cloud Resource Allocation: A Novel Approach |
| title_fullStr | Quantum Game Theory-Based Cloud Resource Allocation: A Novel Approach |
| title_full_unstemmed | Quantum Game Theory-Based Cloud Resource Allocation: A Novel Approach |
| title_short | Quantum Game Theory-Based Cloud Resource Allocation: A Novel Approach |
| title_sort | quantum game theory based cloud resource allocation a novel approach |
| topic | quantum computing game theory cloud resource allocation classical game theory |
| url | https://www.mdpi.com/2227-7390/13/9/1392 |
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