Correlating Business Events for Event-Triggered Rules

Schiefer, Josef; Obweger, Hannes; Suntinger, Martin

doi:10.1007/978-3-642-04985-9_9

Cited by 6 publications

(6 citation statements)

References 9 publications

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“…Via its event attributes, the response event holds the concerned account and bet IDs as well as warning message. Note that correlation information -e.g., that all events must belong to the same sports event -is defined in a separate model; these so-called correlation sets [19] are referred by the decision-graph model. For accessing elements of the underlying event stream and performing calculations on these data, rule components use a tailored expression language, so-called EA Expressions [18]: In the above example, EA Expressions are used both for formulating a condition on the triggering "Bet Placed" event in the initial "High-stakes bet" component and for addressing event attributes of a preceding "Suspicious Bet Placed" event in the response-event action.…”

Section: Architectural Backgroundmentioning

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: Architectural Backgroundmentioning

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

Self Cite

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show abstract

“…SARI [8] ). SARI [8] provides an event-based rule management framework which allows modeling business situations and exceptions with sense and respond rules. Although, with sense and respond rules the outcome of evaluations for event conditions and event patterns can be used for multiple decision scenarios, SARI does not provide explicit support for event subscription recommendations.…”

Section: Related Workmentioning

confidence: 93%

“…ECA has been also the focal point of interest for several research efforts (e.g. SARI [8] ). SARI [8] provides an event-based rule management framework which allows modeling business situations and exceptions with sense and respond rules.…”

Section: Related Workmentioning

confidence: 99%

A goal driven dynamic event subscription approach

Verginadis

Papageorgiou

Patiniotakis

et al. 2012

Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems

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As the Internet of Things gained momentum for leveraging and offering information access to service-based applications and users, a number of new challenges have been identified in terms of efficiently publishing, subscribing, processing and reacting to events. This work focuses on the challenge of enabling efficient active capability in large, distributed event infrastructures such as so-called 'event marketplaces'. We present a goal-driven, ECAbased hierarchical model, called Situation-Action-Network (SAN) and we implement and evaluate the Event Subscription Recommender (ESR) software that uses SANs in order to produce dynamically new event subscriptions based on detected situations.

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“…SARI applications define correlation information in so-called correlation sets (Schiefer et al, 2009), a declarative model that allows incorporating and combining diverse correlation approaches through correlation bands. Each correlation set then corresponds to one class of event situations.…”

Section: Correlation Modelmentioning

confidence: 99%

Model-driven rule composition for event-based systems

Obweger¹,

Schiefer²,

Suntinger³

et al. 2011

IJBPIM

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This article presents a novel framework for creating sense-and-respond rules, which allow detecting noteworthy event situations from streams of business incidents and responding to them in near real-time. Focusing on expressiveness as well as manageability, the proposed framework uses a model-driven approach for the rule definition, where the different aspects of a rule are specified in clearly separated, comprehensible sub-models. This includes models for event-type and correlation information, virtual business-object representations, event patterns ('sense') and actions ('respond'), as well as event processing networks. Event patterns are modelled in a visual decision graph from easy-to-understand pieces of pattern-detection logic, and/or from sub-level event patterns. The proposed system has been fully implemented with a service-oriented architecture. The rule model is illustrated with a business case from the workload-automation domain.

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Correlating Business Events for Event-Triggered Rules

Cited by 6 publications

References 9 publications

User-oriented rule management for event-based applications

User-oriented rule management for event-based applications

A goal driven dynamic event subscription approach

Model-driven rule composition for event-based systems

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