Realtime healthcare services via nested complex event processing technology

Name: Realtime healthcare services via nested complex event processing technology
Author: Liu, M., Ray, M., Zhang, D., Rundensteiner, E., Dougherty, D. J., Gupta, C., Wang, S., Arı, İsmail

İsim	Realtime healthcare services via nested complex event processing technology
Yazar	Liu, M., Ray, M., Zhang, D., Rundensteiner, E., Dougherty, D. J., Gupta, C., Wang, S., Arı, İsmail
Basım Tarihi:	2012
Basım Yeri	- The ACM Digital Library
Konu	CEP, Execution strategy, Supply chain management, Nested sequence, Monitoring application
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-1-4503-0790-1
Kayıt Numarası	2fd08712-2b7e-49b6-8bdc-d3e5ba95f45f
Lokasyon	Computer Science
Tarih	2012
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	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.
DOI	10.1145/2247596.2247681

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Realtime healthcare services via nested complex event processing technology

Yazar Liu, M., Ray, M., Zhang, D., Rundensteiner, E., Dougherty, D. J., Gupta, C., Wang, S., Arı, İsmail

Basım Tarihi 2012

Basım Yeri - The ACM Digital Library

Konu CEP, Execution strategy, Supply chain management, Nested sequence, Monitoring application

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-1-4503-0790-1

Kayıt Numarası 2fd08712-2b7e-49b6-8bdc-d3e5ba95f45f

Lokasyon Computer Science

Tarih 2012

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin 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.

DOI 10.1145/2247596.2247681