Using AI for Dynamic Resource Allocation and Performance Optimization in Software Systems

Mrinal Kumar; Mayur Prakashrao Gore

Abstract

This research work aims at evaluating the possibilities of using artificial intelligence in dynamic resource management and optimization of software system performance. In today’s complex world of application usage, normal methods of resource management are unable to cater to these dynamic needs and fulfill its usage potential. In this work, an assessment of three mainstream AI techniques – reinforcement learning, neural network, and genetic algorithm – is performed based on performance indicators such as resource utilization and consumption, average response time, throughput, costs, prediction capability, stability, and time taken to converge. The results show that the neural networks have the best resource acquisition performance as well as response rates, while the reinforcement learning has the best cost management and flexibility rates. As it has been pointed out, genetic algorithms are quite useful in finding optimization solutions, however real-time responsiveness is lack. Thus, the results provide significant understating of how to choose the proper AI technique depending on the specific application needs which in turn will be useful for organizations willing to improve their resource management using AI-based solutions.

Keywords

Dynamic Resource Allocation, Artificial Intelligence, Performance Optimization, Reinforcement Learning, Neural Networks

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Cites this article as

M. Kumar, M. P. Gore, "Using AI for Dynamic Resource Allocation and Performance Optimization in Software Systems", International Journal of Innovative Research in Computer Science and Technology (IJIRCST), Vol-12, no.6, pp.12-17, 2024. Available from: https://doi.org/10.55524/ijircst.2024.12.6.3

Corresponding Author

Mrinal Kumar

School of Computer Science and Engineering, Guru Jambheshwar University of Science and Technology, Hisar, School of Computer Science and Engineering, Guru Jambheshwar University of Science and Technology, H, School of Computer Science and Engineering, Guru Jambheshwar University of Science and Technology, Hisar, Hisar, India

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