Realtime healthcare services via nested complex event processing technology
Realtime healthcare services via nested complex event processing technology
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通过嵌套复杂事件处理技术提供实时医疗保健服务
DOI：
10.1145/2247596.2247681
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Ismail Ari
中科院分区：
文献类型：
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作者：
Mo Liu;M. Ray;Dazhi Zhang;Elke A. Rundensteiner;Daniel J. Dougherty;Chetan Gupta;Song Wang;Ismail Ari
事件流上的复杂事件处理（CEP）对于从医疗保健到供应链管理的实时应用越来越重要。在这样的应用中，必须在真实的时间中检测任意复杂的序列模式以及不存在这样的复杂情况。为了保证在大容量高速流上检测这种复杂模式的实时响应性，必须设计有效的处理技术。不幸的是，有效地处理复杂的序列查询与否定仍然是一个很大程度上开放的问题。针对这一缺陷，设计了嵌套CEP查询处理的优化策略。在本演示中，我们将展示这些用于处理和优化流上的嵌套模式查询的技术。特别是，我们的演示展示了一个平台，用于指定复杂的嵌套查询，并选择一个替代的优化技术，包括子表达式共享和中间结果缓存来处理它们。我们证明了我们的优化策略的效率，通过图形比较嵌套CEP查询的默认处理策略的优化解决方案的执行时间。我们还展示了所提出的技术在几个医疗服务中的使用。
Complex Event Processing (CEP) over event streams has become increasingly important for real-time applications ranging from healthcare to supply chain management. In such applications, arbitrarily complex sequence patterns as well as non existence of such complex situations must be detected in real time. To assure real-time responsiveness for detection of such complex pattern over high volume high-speed streams, efficient processing techniques must be designed. Unfortunately the efficient processing of complex sequence queries with negations remains a largely open problem to date. To tackle this shortcoming, we designed optimized strategies for handling nested CEP query. In this demonstration, we propose to showcase these techniques for processing and optimizing nested pattern queries on streams. In particular our demonstration showcases a platform for specifying complex nested queries, and selecting one of the alternative optimized techniques including sub-expression sharing and intermediate result caching to process them. We demonstrate the efficiency of our optimized strategies by graphically comparing the execution time of the optimized solution against that of the default processing strategy of nested CEP queries. We also demonstrate the usage of the proposed technology in several healthcare services.