基于设备可信度和移动性的算力价值化交易方法

A computing power trading method based on device reliability and mobility

为了解决算力资源交易过程中的效用低、可信度低、安全性差等问题,考虑设备可信度和设备移动性对边缘计算成本的影响,首先建立了以数据价值为衡量标准的社会效益最大化模型。其次利用贪婪算法求解该优化模型,基于多对多双方竞拍博弈和裁剪算法对算力资源拍卖过程进行了改进。最后采用去中心化、公开透明、不可篡改的区块链技术,制定了智能合约机制,对拍卖过程进行管理监督。结果表明,所提的模型机制在现有机制的基础上进一步保证了交易的真实性,提高了算力资源交易效用,有效提高了交易过程的可信度和安全性。

In order to solve the problems of low utility,low credibility,and poor security in the process of computing power resource trading,a social welfare maximization model is established considering the impact of device credibility and device mobility on device computing costs.In the satisfaction maximization model,the value of the data is regarded as the measurement criteria.Then,the computing resources auction scheme between computing power requesters and potential sellers is solved by the greedy algorithm.The bidding process between multi-sellers and multi-buyers is improved by the auction game and the clipping algorithm.Finally,the decentralized,transparent,and tamper proof blockchain technology is employed,and a smart contract mechanism is developed to manage and supervise the auction process.The results indicate that the proposed model further ensures the authenticity of transactions on the basis of existing mechanisms,improves the utility of computing resource transactions to a certain extent,and effectively improves the credibility and security of the transaction process.