Financial exchanges have recently shown an interest in migrating to the public cloud for scalability, elasticity, and cost savings. However, financial exchanges often have strict network requirements that can be difficult to meet on the cloud. Notably, market participants (MPs) trade based on market data about different activities in the market. Exchanges often use switch multicast to disseminate market data to MPs. However, if one MP receives market data earlier than another, that MP would have an unfair advantage. To prevent this, financial exchanges often equalize exchange-to-MP cable lengths to provide near-simultaneous reception of market data at MPs. As a cloud tenant, however, building a fair multicast service is challenging because of the lack of switch support for multicast, high latency variance, and the lack of native mechanisms for simultaneous data delivery in the cloud. Jasper introduces a solution that creates an overlay multicast tree within a cloud region that minimizes latency and latency variations through hedging, leverages recent advancements in clock synchronization to achieve simultaneous delivery, and addresses various sources of latency through an optimized DPDK/eBPF implementation -- while scaling to 1000+ emulated receivers. Jasper outperforms a prior system CloudEx and a commercial multicast solution provided by Amazon Web Services.

翻译：摘要：金融交易所近期表现出向公有云迁移的兴趣，以获取可扩展性、弹性与成本优势。然而，交易所通常具有严格的网络要求，这在云环境中难以满足。具体而言，市场参与者（MPs）基于市场活动数据展开交易。交易所常采用交换机多播技术向MPs分发市场数据。但若某MP比另一MP更早接收市场数据，该MP将获得不公平优势。为杜绝此现象，交易所常通过均衡交易所至MP的线缆长度，使MPs近乎同步接收市场数据。然而作为云租户，构建公平的多播服务面临诸多挑战：缺乏交换机的多播支持、高延迟方差、以及云中缺乏原生同步数据投递机制。Jasper提出了一种解决方案：在云区域内构建覆盖多播树，通过对冲策略最小化延迟与延迟波动；利用时钟同步技术的最新进展实现同步投递；并通过优化的DPDK/eBPF实现应对多种延迟来源——同时可扩展至1000+模拟接收端。Jasper的性能优于前代系统CloudEx及亚马逊云科技提供的商业多播解决方案。