EFSC: an Efficient, Flexible and Secure Trading System for Computing Power Network

With the escalating demand for computing power driven by the advancements in deep learning and artificial intelligence (AI), the computing power networks serve as critical infrastructure nowadays. Recently, the emerging blockchain enhanced computing power networks has showed appealing advantages of fair and reliable resource allocation, adaptive and flexible management on heterogeneous computing power network, transparent and trustworthy transactions, thereby alleviating the drawbacks of traditional computing infrastructure. Yet, the efficiency and security concerns associated with blockchain-based transactions are neglected when it is applied to computing power trading scenario. To address these issues, in this paper, we introduces the EFSC (Efficient, Flexible, Secure Computing-power-trading) system, a blockchain and smart contracts-based solution aimed at enhancing the efficiency and security of computing power trading. By leveraging a hybrid mechanism that combines on-chain and off-chain methods and utilizing off-chain transaction channels, the EFSC system achieves high throughput transaction processing while also supporting adjustable on-chain policies. Furthermore, transaction data templates based on the Verifiable Credentials (VC) data model enable flexible computing power transaction patterns, allowing providers to define and register configurable transaction initiation and settlement credential templates. To address transaction security concerns, the system leverages Decentralized Identifiers (DID) for off-chain channel access authentication and utilizes DID and VC mechanisms to facilitate transaction initiation and settlement processing, thereby enhancing the credibility and authenticity of transaction data. The experimental results and analysis demonstrate the effectiveness of proposed system.