Consistent Streaming Through Time: A Vision for Event Stream Processing

TL;DR

This paper introduces CEDR, a unified event streaming system that leverages a temporal stream model to integrate various event processing technologies, improve query capabilities, and ensure consistency despite delivery imperfections.

Contribution

The paper proposes a novel unified model for event stream processing, enhancing query language features and robustness in event delivery within the CEDR system.

Findings

CEDR unifies multiple event processing paradigms.

Temporal stream model improves query expressiveness.

Handles event delivery imperfections effectively.

Abstract

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.