论文标题
使用高斯土匪在区块链方案中的多代理动态定价
Multi-Agent Dynamic Pricing in a Blockchain Protocol Using Gaussian Bandits
论文作者
论文摘要
图协议索引历史区块链交易数据，并可用于查询。由于协议是分散的，因此有许多独立的索引器索引并相互竞争，以向消费者提供查询。索引竞争的一个维度是定价。在本文中，我们提出了一种基于强盗的算法，以通过消费者预算发现最大化索引者的收入。我们介绍了同时使用多个代理使用的动态定价算法的设计和考虑。我们讨论了通过模拟中的动态定价匪徒在以太坊上运行的索引中的生产中实现的结果。我们已经开源了我们创建的仿真框架和工具，此后其他索引器开始适应自己的工作流程。
The Graph Protocol indexes historical blockchain transaction data and makes it available for querying. As the protocol is decentralized, there are many independent Indexers that index and compete with each other for serving queries to the Consumers. One dimension along which Indexers compete is pricing. In this paper, we propose a bandit-based algorithm for maximization of Indexers' revenue via Consumer budget discovery. We present the design and the considerations we had to make for a dynamic pricing algorithm being used by multiple agents simultaneously. We discuss the results achieved by our dynamic pricing bandits both in simulation and deployed into production on one of the Indexers operating on Ethereum. We have open-sourced both the simulation framework and tools we created, which other Indexers have since started to adapt into their own workflows.
