Scalable Blockchain Architecture for Efficient Task Scheduling and Storage Optimization

Abstract

With the rapid development of Internet technology and big data computing, distributed systems have been widely used in various fields. However, traditional distributed computing architectures still rely on centralized management models and face challenges such as uneven distribution of computing resources, high storage overhead, and trust issues between nodes. The decentralized, tamper-proof, and traceable characteristics of blockchain technology provide a new solution for distributed computing and storage. This study proposes an efficient distributed system based on blockchain, combining an improved task scheduling strategy, a game-theoretic computing resource allocation mechanism, and an optimized block storage method to improve the fairness and resource utilization of computing tasks while reducing the synchronization overhead of storage nodes. This paper constructs a decentralized computing framework that enables computing nodes to collaborate on tasks through smart contracts and reduces the waste of computing resources by optimizing the consensus mechanism. In addition, to solve the problem of blockchain storage redundancy, this paper proposes a hierarchical storage strategy that uses blockchain sharding technology to reduce the burden on storage nodes and improve system scalability. The results of this study not only help to improve the applicability of blockchain in large-scale computing tasks, but also provide theoretical support and technical paths for the optimization of future distributed computing architectures.