Computer Science – Databases
Scientific paper
2006-12-21
Computer Science
Databases
This article is published under a Creative Commons License Agreement (http://creativecommons.org/licenses/by/2.5/.) You may co
Scientific paper
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.
Ali Mohamed
Barga Roger S.
Goldstein Jonathan
Hong Mingsheng
No associations
LandOfFree
Consistent Streaming Through Time: A Vision for Event Stream Processing does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Consistent Streaming Through Time: A Vision for Event Stream Processing, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Consistent Streaming Through Time: A Vision for Event Stream Processing will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-531029