标题： 一种具有基于激励的负载均衡的开放式去中心化计算网络模型 显示英文标题

标题： Model of an Open, Decentralized Computational Network with Incentive-Based Load Balancing

摘要： 本文提出了一种模型，使无许可和去中心化的网络能够执行复杂计算。 我们探索了开放的去中心化计算网络的集成，并优化了负载均衡。 我们的模型利用经济激励和基于声誉的机制，在操作员和协处理器之间动态分配任务。 这种方法消除了对专用硬件或软件的需求，从而降低了运营成本和复杂性。 我们提出了一个数学模型，通过允许操作员将复杂任务委派给协处理器来增强区块链系统的再质押过程。 通过实验模拟证明了该模型的有效性，展示了其优化奖励分配、提高安全性和改善运营效率的能力。 我们的方法通过使用经济承诺、可适应的动态评级模型和协处理器负载激励系统，实现了更灵活和可扩展的网络。 在实验模拟的支持下，该模型展示了其优化资源分配、增强系统弹性和降低运营风险的能力。 这确保了区块链生态系统在安全性与成本效益方面的显著提升。 显示英文摘要

摘要： This paper proposes a model that enables permissionless and decentralized networks for complex computations. We explore the integration and optimize load balancing in an open, decentralized computational network. Our model leverages economic incentives and reputation-based mechanisms to dynamically allocate tasks between operators and coprocessors. This approach eliminates the need for specialized hardware or software, thereby reducing operational costs and complexities. We present a mathematical model that enhances restaking processes in blockchain systems by enabling operators to delegate complex tasks to coprocessors. The model's effectiveness is demonstrated through experimental simulations, showcasing its ability to optimize reward distribution, enhance security, and improve operational efficiency. Our approach facilitates a more flexible and scalable network through the use of economic commitments, adaptable dynamic rating models, and a coprocessor load incentivization system. Supported by experimental simulations, the model demonstrates its capability to optimize resource allocation, enhance system resilience, and reduce operational risks. This ensures significant improvements in both security and cost-efficiency for the blockchain ecosystem.