Distributed continuous queries over Web service event streams

W. Hummer, B. Satzger, P. Leitner, Christian Inzinger, S. Dustdar
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引用次数: 4

Abstract

Complex Event Processing over Web service event streams poses huge challenges with regard to efficient, scalable execution as well as expressive models and languages that account for the dynamics in long-running queries. We present a distributed query platform that tackles these problems. Our novel query model permits to specify inputs that provide data for other inputs and need to be processed first. An XQuery language extension lets users easily express such dependencies, which are then continuously resolved with the required data at runtime. Query specifications are abstracted from physical deployment, allowing the platform to distribute the execution and to elastically scale up and down. We evaluate several aspects of our prototype in a Cloud computing environment.
Web服务事件流上的分布式连续查询
Web服务事件流上的复杂事件处理在高效、可伸缩的执行以及解释长时间运行查询中的动态的表达模型和语言方面提出了巨大的挑战。我们提出了一个分布式查询平台来解决这些问题。我们的新查询模型允许指定为其他输入提供数据并需要首先处理的输入。XQuery语言扩展使用户可以轻松地表达这种依赖关系,然后在运行时用所需的数据不断地对其进行解析。查询规范是从物理部署中抽象出来的,允许平台分配执行并弹性地向上和向下扩展。我们在云计算环境中评估了原型的几个方面。
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