Quantum Game Theory-Based Cloud Resource Allocation: A Novel Approach

Anjan Bandyopadhyay (), Utkarsh Choudhary, Vaibhav Tiwari, Kaushtab Mukherjee, Sapthak Mohajon Turjya, Naim Ahmad (), Abid Haleem and Saurav Mallik ()
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Anjan Bandyopadhyay: School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, Odisha, India
Utkarsh Choudhary: School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, Odisha, India
Vaibhav Tiwari: School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, Odisha, India
Kaushtab Mukherjee: School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, Odisha, India
Sapthak Mohajon Turjya: School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, Odisha, India
Naim Ahmad: College of Computer Science, King Khalid University, Abha 62521, Saudi Arabia
Abid Haleem: Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi 110025, India
Saurav Mallik: Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, MA 02115, USA

Mathematics, 2025, vol. 13, issue 9, 1-31

Abstract: 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.

Keywords: quantum computing; game theory; cloud resource allocation; classical game theory (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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