A CEP Babelfish: Languages for Complex Event Processing and Querying Surveyed

Eckert, Michael; Bry, François; Brodt, Simon; Poppe, Olga; Hausmann, Steffen

doi:10.1007/978-3-642-19724-6_3

Cited by 32 publications

(11 citation statements)

References 42 publications

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“…The ontologies were used for consistency checking of rule databases (Gellrich et al, 2012), however the approach is still under investigation and the reported prototype was not yet clearly exemplified. Another problem is in the software interoperability, which impedes the reconfiguration process as far as the rules for CEP engines can be expressed in different languages (Eckert et al, 2011). A lightweight solution to CEP was applied to minimize the dependencies on external libraries and applications in order to focus on ease-of-use, extensibility and scalability; nevertheless the solution still uses engine-specific language for rule expressions (Zappia et al, 2012).…”

Section: Cep Technologiesmentioning

confidence: 99%

Context-aware knowledge-based middleware for selective information delivery in data-intensive monitoring systems

Evchina

Puttonen

Dvoryanchikova

et al. 2015

Engineering Applications of Artificial Intelligence

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Section: Cep Technologiesmentioning

confidence: 99%

Context-aware knowledge-based middleware for selective information delivery in data-intensive monitoring systems

Evchina

Puttonen

Dvoryanchikova

et al. 2015

Engineering Applications of Artificial Intelligence

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“…The difficulty of using CEP comes from engine specific rule languages. Usually, each CEP engine has its own rule language and features in configuration, thus challenging creation of rules for environments with heterogeneous devices and multifarious situations [15], [16].…”

Section: Related Workmentioning

confidence: 99%

Semantic-driven CEP for delivery of information streams in data-intensive monitoring systems

Evchina

Lastra

2015

2015 IEEE 13th International Conference on Industrial Informatics (INDIN)

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Modern control and monitoring systems incorporate large number of heterogeneous devices and are operated by many users with different roles and responsibilities. The information generated by these devices, although preprocessed and filtered, is usually delivered to users regardless of their actual information needs, thus overwhelming cognitive capacities and potentially affecting safety of the system. This paper addresses the problem of personalized information delivery and presents hybrid system capable to deliver information tailored to user needs based on his/her role and responsibilities. The system utilizes Semantic Web technologies (specifically OWL-DL ontologies and SPARQL queries) for configuration purposes and Complex Event Processing (CEP) for run-time analyzing. The combination of mentioned technologies brings two major advantages: (1) the behavior of the system could be easily changed by configuring only underlying ontology;(2) utilization of CEP at run-time makes system event-driven and reactive to frequent changes in the environment. It is expected that proposed approach is able to make monitoring systems personal oriented and thus safer during the operation. The paper presents implemented software tools and illustrates approach with scenarios from building automation domain. Current implementation of the proposed approach suggests feasibility of the solution and prompts directions for future research.

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“…Event Processing Languages, EPLs) reduce the effort to develop CEP applications dealing with complicated event patterns in multiple streams. Three main language styles are found for EQL implementation [48]:…”

Section: Event Processing Enginementioning

confidence: 99%

Complex Event Processing for Self-Optimizing Cellular Networks

de-la-Bandera

Toril

Luna-Ramírez

et al. 2020

Sensors

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In a cellular network, signaling and data messages exchanged between network elements are an extremely valuable information for network optimization. The consideration of different types of information allows to improve the optimization results. However, the huge amount of information has made it very difficult for operators to process all the available information. To cope with this issue, in this paper, a methodology for processing cell and user connection traces to optimize a live cellular network is presented. The aim is to generate new performance indicators different from those supplied by manufacturers, taking advantage of the ability of complex event processing tools to correlate events of different nature. For illustrative purposes, an example of how a new performance indicator is created from real traces by complex event processing is given.

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A CEP Babelfish: Languages for Complex Event Processing and Querying Surveyed

Cited by 32 publications

References 42 publications

Context-aware knowledge-based middleware for selective information delivery in data-intensive monitoring systems

Context-aware knowledge-based middleware for selective information delivery in data-intensive monitoring systems

Semantic-driven CEP for delivery of information streams in data-intensive monitoring systems

Complex Event Processing for Self-Optimizing Cellular Networks

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