Complex Event Processing for Financial Services

Adi, Asaf; Botzer, David; Nechushtai, G.; Sharon, Guy

doi:10.1109/scw.2006.7

Cited by 44 publications

(27 citation statements)

References 1 publication

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“…Rule templates are partially defined rules with placeholders to be populated by business users. Allowing business users to instantiate arbitrarily complex rule logic, rule templates are particularly suitable for CEP, and have, for instance, been used with AMiT [2]. In our approach, we extend the concept of rule templates and provide templates not only for complete rules, but also for decoupled "building blocks" of rule logic.…”

Section: Related Workmentioning

confidence: 99%

User-oriented rule management for event-based applications

Obweger¹,

Schiefer²,

Suntinger³

et al. 2011

Proceedings of the 5th ACM International Conference on Distributed Event-Based System

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Event-pattern rules are the foundation of Complex Event Processing (CEP) applications. Yet, despite the vast potential CEP offers for agile business applications, its practical relevance rises and falls with the manageability within the organizational framework conditions of an enterprise. In this paper we present a novel rule-management framework for the event-based system UC4 Decision. It caters to the needs of power users as well as business users: Power users model infrastructural rules based on visual decision graphs and a dedicated expression language. Business users compose rule logic in a simplified web interface from abstracted, configurable building blocks.

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Section: Related Workmentioning

confidence: 99%

User-oriented rule management for event-based applications

Obweger¹,

Schiefer²,

Suntinger³

et al. 2011

Proceedings of the 5th ACM International Conference on Distributed Event-Based System

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show abstract

“…CEP deals with detecting event patterns in realtime from among a cloud of information represented as events. CEP has been successfully applied in many application domains ranging from supply chain management [25], [26] to financial services [15], [19]. The requirement of timely response to power use activities in dynamic DR makes CEP an attractive approach.…”

Section: B Dynamic Demand Responsementioning

confidence: 99%

Semantic Information Modeling for Emerging Applications in Smart Grid

Zhou

Natarajan

Simmhan

et al. 2012

2012 Ninth International Conference on Information Technology - New Generations

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Abstract-Smart Grid modernizes power grid by integrating digital and information technologies. Millions of smart meters, intelligent appliances and communication infrastructures are under deployment allowing advanced IT applications to be developed to protect and optimize power grid operations. Demand response (DR) is one such emerging application to optimize electricity demand by curtailing/shifting power load when peak load occurs. Existing DR approaches are mostly based on static plans such as pricing policies and load shedding schedules. However, improvements to power management applications rely on data emanated from existing and new information sources with the grow of Smart Grid information space. In particular, dynamic DR algorithms may depend on information from smart meters that report interval-based power consumption measurement, HVAC systems that monitor buildings heat and humidity, and even weather forecast services. In order for emerging Smart Grid applications to take advantage of the diverse data influx, extensible information integration is required. In this paper, we develop an integrated Smart Grid information model using Semantic Web techniques and present case studies of using semantic information for dynamic DR. We show the semantic model facilitates information integration and knowledge representation for developing the next generation Smart Grid applications.

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“…In this context, the above technology can be applied in the smart surveillance system to facilitate the recognition and object tracking processes. In the past (Adi et al 2006), Complex Event Processing (CEP) technology has been applied in the business world, especially in the banking sector and the insurance industry to monitor and detect certain conditions, such as suspicious money transfers, fraud detection and market trends. This paper proposesa loitering event detection application based on annotated CCTV feed.…”

Section: Introductionmentioning

confidence: 99%