Edge bank: a novel resource pricing and management system for edge service provider

In order to address the challenges of digital transformation in data-driven enterprises resulting from edge computing, an efficient resource pricing strategy for edge service providers (ESPs) is essential. This paper introduces a novel resource pricing and management system for ESPs, termed the "edge bank," which models edge nodes in resource pricing as borrowers and lenders analogous to a commercial bank. We investigate two key issues within this edge bank system: (1) the operational mechanism of the edge bank, and (2) the resource pricing and management strategy employed by the edge bank for ESPs. To address the first issue, we present an implementation framework for resource pricing and management within the edge bank system. For the second issue, we propose a two-stage resource pricing strategy based on game theory, tailored to the system's characteristics, which consists of an initial stage and a steady stage. Additionally, we develop a price adjustment algorithm that optimizes the loan-to-deposit ratio (LDR) in the edge bank system. Numerical results demonstrate the effectiveness of the two-stage pricing strategy and highlight the superior performances of proposed algorithm to enhance resource utilization for ESPs.