Composite events for network event correlation

Liu, G.; Mok, Aloysius K.; Yang, Ellyn

doi:10.1109/inm.1999.770687

Cited by 83 publications

(50 citation statements)

References 9 publications

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“…Rule-based systems [50,51] are composed of rules of the form if condition then conclusion. The condition part is a logical combination of propositions about the current set of received events and the system state; the conclusion determines the state of correlation process.…”

Section: Event Correlationmentioning

confidence: 99%

Big Continuous Data: Dealing with Velocity by Composing Event Streams

Vargas-Solar¹,

Espinosa-Oviedo²,

Zechinelli-Martini

2016

Big Data Concepts, Theories, and Applications

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Section: Event Correlationmentioning

confidence: 99%

Big Continuous Data: Dealing with Velocity by Composing Event Streams

Vargas-Solar¹,

Espinosa-Oviedo²,

Zechinelli-Martini

2016

Big Data Concepts, Theories, and Applications

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“…The expressiveness of some event specification languages has been limited by not distinguishing between event types and instances of those types. [8] attempts to define conditions and constraints on attributes of events in correlation rules rather than defining operators on event instances. Especially in sensor networks, in order to avoid loss of events by communication instability, duplicates of events may be produced to increase reliability.…”

Section: Duplicationmentioning

confidence: 99%

Ubiquitous Computing: Challenges in Flexible Data Aggregation

Yoneki¹,

Bacon²

2005

Embedded and Ubiquitous Computing – EUC 2005

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Abstract.A dramatic increase of event monitoring capabilities by wireless sensors requires new, more sophisticated, event correlation over time and space. This new paradigm implies composition of events in ubiquitous computing environments and event Correlation will be a multi-step operation from event sources to final subscribers, combining information collected by wireless devices into higher level information or knowledge. We define generic composite event semantics, which extend traditional event composition with data aggregation in wireless sensor networks (WSNs). This work bridges data aggregation in WSNs with event correlation services over distributed systems. We use interval-based semantics for event detection, defining precisely complex timing constraints.

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“…EDEM detects expectation violations, generating reports to the QA team. Expectations can be dynamically deployed using agents built by using event correlation techniques [10]. When an expectation is violated, the agent sends e-mail messages to the QA team Expectation agents can be defined and deployed at execution time, with the help of a special agent editor.…”

Section: Related Workmentioning

confidence: 99%

“…In this paradigm, also called implicit invocation, event producers publish information in the form of events (records, objects or attribute/value pairs), while consumers express interest on events using logical expressions called subscriptions. Subscriptions can include more advanced features such as event correlation expressions, allowing not only the filtering of information, but also the combination and abstraction of events into higher-level events [10]. For example, a sequence of events or a set of repetitive events can be combined and abstracted in higher-level events that express such pattern of occurrence.…”

Section: Communication Infrastructurementioning

confidence: 99%