OPTIMIZING RESOURCE ALLOCATION IN DISTRIBUTED MACHINE LEARNING SYSTEMS: A HYBRID APPROACH COMBINING REINFORCEMENT LEARNING AND GAME THEORY

Authors

  • Butwall M Swami Keshvanand Institute of Technology, Management & Gramothan
  • Rajaan R Swami Keshvanand Institute of Technology, Management & Gramothan Jaipur

Keywords:

Reinforcement Learning (RL), Game Theory (GT), Resource Allocation, Distributed Machine Learning Systems, Hybrid Optimization Framework

Abstract

As machine learning models grow in complexity and scale, efficient resource allocation in distributed systems becomes a critical challenge. This paper introduces a novel hybrid approach combining Reinforcement Learning (RL) and Game Theory (GT) to optimize resource allocation in distributed machine learning systems. We propose a framework that leverages RL for dynamic resource management and GT for strategic decision-making among distributed nodes. The efficacy of our approach is evaluated through simulations and real-world benchmarks, demonstrating significant improvements in system performance and resource utilization.

References

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Sutton, R.S., & Barto, A.G. (2018). Reinforcement Learning: An Introduction. MIT Press.

Nash, J.F. (1950). "Equilibrium Points in N-Person Games". Proceedings of the National Academy of Sciences, 36(1), 48-49.

Zhang, J., & Zhang, Y. (2022). "Dynamic Resource Allocation in Cloud Computing: A Survey". IEEE Transactions on Cloud Computing, 10(1), 123-145.

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Published

2023-04-03

How to Cite

Butwall, M., & Rajaan, R. (2023). OPTIMIZING RESOURCE ALLOCATION IN DISTRIBUTED MACHINE LEARNING SYSTEMS: A HYBRID APPROACH COMBINING REINFORCEMENT LEARNING AND GAME THEORY. COMPUSOFT: An International Journal of Advanced Computer Technology, 12(00), 4004–4006. Retrieved from https://ijact.in/index.php/j/article/view/628

Issue

Vol. 12 (2023): Jan-Dec

Section

Original Research Article

License

Copyright (c) 2023 COMPUSOFT: An International Journal of Advanced Computer Technology

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

©2023. COMPUSOFT: AN INTERNATIONAL OF ADVANCED COMPUTER TECHNOLOGY by COMPUSOFT PUBLICATION is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at COMPUSOFT: AN INTERNATIONAL OF ADVANCED COMPUTER TECHNOLOGY. Permissions beyond the scope of this license may be available at Creative Commons Attribution 4.0 International Public License.