A Sustainable Storage Compensation Method for Consortium Blockchain-based Computing Power Trading

The consortium blockchain effectively ensures the trustworthiness of computing power transactions among resource owners. However, the substantial storage costs incurred by nodes have been overlooked, potentially diminishing their enthusiasm and affecting the platform’s security and sustainability. This paper proposes a sustainable storage compensation method to balance the storage profits between storage compensation providers and recipients. First, to mitigate the impact of malicious nodes, we propose a transaction storage pricing strategy based on reputation. Second, we develop a storage compensation pricing model based on Rubinstein’s game theory. We then conduct a Nash equilibrium analysis to determine the equilibrium storage compensation price for the computing power trading system. Finally, we demonstrate the effectiveness of our reputation-based unit price setting strategy through simulations and validate the feasibility of the game model. Compared with the two representative methods, our approach yields a higher time-average payoff and is more sustainable.