Incentive-Based Load Balancing Model for Decentralized Restaking Computational Networks
A mathematical model for a permissionless decentralized computational network that uses economic incentives and a dynamic reputation-based rating mechanism to allocate complex tasks from restaking operators to standalone coprocessors and distribute rewards between them. Built on a blockchain restaking (Actively Validated Services) framework, it aims to balance computational load, remove the need for specialized hardware, and improve security, resilience, and cost-efficiency, validated through simulation.
Model of an Open, Decentralized Computational Network with Incentive-Based Load Balancing∗ German
This paper proposes a mathematical model for a permissionless, decentralized computational network in which restaking operators delegate complex tasks to standalone coprocessors, removing the need fo…