Complex Event Processing (CEP)

Eckert, Michael; Bry, François

doi:10.1007/s00287-009-0329-6

Cited by 59 publications

(25 citation statements)

References 9 publications

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“…Although data-driven manufacturing and service engineering have gained tremendous importance in recent years, many enterprises build upon historic data and standardized reports to manage their strategy, goals, and resources. However, as the amount of available data fundamentally increases, enterprises must provide the necessary capabilities to analyze and process data more accurately and faster [17,28]. Due to the availability of digital communication channels, enterprises face new challenges when interacting with the CC.…”

Section: Analyze Business Operations In Real Timementioning

confidence: 99%

Connected Enterprise Meets Connected Customer - A Design Approach

Fischer

Imgrund

Friedrich-Baasner

et al. 2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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Section: Analyze Business Operations In Real Timementioning

confidence: 99%

Connected Enterprise Meets Connected Customer - A Design Approach

Fischer

Imgrund

Friedrich-Baasner

et al. 2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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show abstract

“…Also how CEP deals with big data has been discussed in depth. A very detailed assessment of all aspects of CEP [3] and [4] which included CEP specification, methods, experiments and a very helpful guideline for tools selection at both commercial and academic levels.…”

Section: Literature Reviewmentioning

confidence: 99%

Survey of Applications of Complex Event Processing (CEP) in Health Domain

Mahmood

Pasha

2017

SJCMS

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Abstract:It is always difficult to manipulate the production of huge amount of data which comes from multiple sources and to extract meaningful information to make appropriate decisions. When data comes from various input resources, to get required streams of events form this complex input network, the one of the strong functionality of Business Intelligence (BI) the Complex Event Processing (CEP) is the appropriate solution for the abovementioned problems. Real time processing, pattern matching, stream processing, big data management, sensor data processing and many more are the application areas of CEP. Health domain itself is a multidimension domain such as hospital supply chain, OPD management, disease diagnostic, Inpatient, out-patient management, and emergency care etc. In this paper, the main focus is to discuss the application areas of Complex Event Processing (CEP) in health domain by using sensor device, such that how CEP manipulate health data set events coming from sensor devices such as blood pressure, heartbeat, fall detection, sugar level, temperature or any other vital signs and how these systems respond to these events as quickly as possible. Different existing models and application using CEP are discussed and summarized according to different characteristics.

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“…The growing development of the Service Oriented Architecture (SOA) and the Event-Driven Architecture (EDA) [7] combined with the reduction of cost in sensor technology have led, in the last years, to a big development in the use of events in the analysis of signals and system' behavior [8]. Use of event modeling allows the development of more complex systems expressed through a much more compact model, supporting the development of much more user friendly interfaces.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Generation of Logical Signals for Discrete Events Behavioral Modeling

Campos-Rebelo

Costa

Gomes

2015

IFIP Advances in Information and Communication Technology

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Part 6: Embedded SystemsInternational audienceThis paper presents a proposal for structuring logical signals for discrete events behavioral modeling. Graphical formalisms will be used to illustrate applicability of the proposed techniques. Input logical signals are generated based on the analysis of physical signals coming from the environment and other input logical signals. Their analysis is introduced in the flow of the input signal analysis, defined as pre-processing when using a modeling formalism. Their analysis is done in the first step of pre-processing, allowing to put these signals at the same level of the physical ones, enabling its use in the rest of the signals’ analysis, and also allowing the generation of events and conditions associated with these signals. Likewise, logical signals are also defined in the flow of post-processing, allowing the definition of output logical signals through analysis and composition of the output signals generated by the model execution. The output logical signals are analyzed in the last step of post-processing in order to allow the use of the signals affected by the events in its analysis. The usage of these signals allows improvements in terms of expressiveness and compactness of the resulted models, both directly due to its use as well as by the increase of the possibilities of analysis provided to the following parts of the development flow

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Complex Event Processing (CEP)

Cited by 59 publications

References 9 publications

Connected Enterprise Meets Connected Customer - A Design Approach

Connected Enterprise Meets Connected Customer - A Design Approach

Survey of Applications of Complex Event Processing (CEP) in Health Domain

Analysis and Generation of Logical Signals for Discrete Events Behavioral Modeling

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