Decentralized Cloud Platform Resource Dynamic Allocation Algorithm for Smart Contracts

Abstract

In the realm of cloud computing, efficient resource allocation between operators and users is a critical challenge. To address this issue, this study introduces a novel smart contract-oriented decentralized cloud platform resource dynamic allocation algorithm. By leveraging game theory principles and employing a backward induction approach, this algorithm aims to optimize the allocation of network resources in a decentralized manner. Extensive performance testing was conducted to evaluate the efficacy of the proposed algorithm. Through simulations of various network loads and resource demands, the algorithm's stability and efficiency under different scenarios were thoroughly examined. The test results demonstrated the algorithm's exceptional performance in real-world applications, showcasing its ability to efficiently optimize resource allocation, enhance network utilization, and maintain a balanced interest equilibrium between operators and users. The smart contract-driven decentralized cloud platform resource dynamic allocation algorithm presented in this study has been rigorously validated through performance testing, exhibiting robust stability and efficiency. By achieving Nash equilibrium, this algorithm prevents unilateral utility increases by any party, thereby introducing significant innovation and advancement in the field of cloud platform resource allocation.