贯穿时间的一致流：事件流处理的愿景
Consistent Streaming Through Time: A Vision for Event Stream Processing
摘要：
事件处理将在构建能够立即对业务关键事件做出反应的企业应用程序方面发挥越来越重要的作用。近年来已经提出了各种技术，例如事件处理、数据流和异步消息传递（例如，发布/订阅）。我们相信这些技术共享一个共同的处理模型，不同之处仅在于目标工作负载，包括查询语言特性和一致性要求。我们认为，整合这些技术是自然发展的下一步。在本文中，我们提出了一个概述和讨论的基础CEDR，事件流系统，包括一个时间流模型，统一和进一步丰富查询语言功能，处理不完善的事件交付和定义正确性保证。我们描述了具体的贡献，到目前为止，并概述了在开发CEDR系统的下一步。
英文摘要：
Event processing will play an increasingly important role in constructing enterprise applications that can immediately react to business critical events. Various technologies have been proposed in recent years, such as event processing, data streams and asynchronous messaging (e.g. pub/sub). We believe these technologies share a common processing model and differ only in target workload, including query language features and consistency requirements. We argue that integrating these technologies is the next step in a natural progression. In this paper, we present an overview and discuss the foundations of CEDR, an event streaming system that embraces a temporal stream model to unify and further enrich query language features, handle imperfections in event delivery and define correctness guarantees. We describe specific contributions made so far and outline next steps in developing the CEDR system.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
