• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Database and Expert Systems Applications; Lecture Notes in Computer Science; 4080 >Extensions to Stream Processing Architecture for Supporting Event Processing
【24h】

Extensions to Stream Processing Architecture for Supporting Event Processing

机译：流处理架构的扩展以支持事件处理

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Both event and stream data processing models have been researched independently and are utilized in diverse application domains. Although they complement each other in terms of their functionality, there is a critical need for their synergistic integration to serve newer class of pervasive and sensor-based monitoring applications. For instance, many advanced applications generate interesting simple events as a result of stream processing that need to be further composed and detected for triggering appropriate actions. In this paper, we present EStream, an approach for integrating event and stream processing for monitoring changes on stream computations and for expressing and processing complex events on continuous queries (CQs). We introduce masks for reducing uninteresting events and for detecting events correctly and efficiently. We discuss stream modifiers, a special class of stream operators for computing changes over stream data. We also briefly discuss architecture and functional modules of EStream.
机译：事件和流数据处理模型均已独立研究，并已在各种应用领域中使用。尽管它们在功能上相互补充，但迫切需要它们的协同集成，以服务于新型的基于传感器的监视和监控应用。例如，由于流处理的结果，许多高级应用程序会生成有趣的简单事件，需要进一步编写和检测这些事件以触发适当的动作。在本文中，我们介绍了EStream，这是一种用于集成事件和流处理的方法，用于监视流计算的变化以及用于表达和处理连续查询（CQ）上的复杂事件。我们介绍了用于减少不必要事件并正确有效地检测事件的掩码。我们讨论了流修饰符，这是一类特殊的流运算符，用于计算流数据的变化。我们还将简要讨论EStream的体系结构和功能模块。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号