A Model-Driven Approach for Web Service Adaptation Using Complex Event Processing

Author(s):  
Yéhia Taher ◽  
Juan Boubeta-Puig ◽  
Willem-Jan van den Heuvel ◽  
Guadalupe Ortiz ◽  
Inmaculada Medina-Bulo



2013 ◽  
Vol 36 (4) ◽  
pp. 1102-1115 ◽  
Author(s):  
C. Dumez ◽  
M. Bakhouya ◽  
J. Gaber ◽  
M. Wack ◽  
P. Lorenz


Author(s):  
Ingo Zinnikus ◽  
Christian Hahn ◽  
Klaus Fischer

In cross-organisational business interactions, integrating different partners raises interoperability problems especially on the technical level. The internal processes and interfaces of the participating partners are often pre-existing and have to be taken as given. This imposes restrictions on the possible solutions for the problems which occur when partner processes are integrated. The aim of this chapter is the presentation of a three-tier framework for managing and implementing interoperable and crossorganizational business processes. Thereby the authors want to fill the gap currently existing between processes defined on a strategic level and executed models. We describe a solution which supports rapid prototyping by combining a model-driven framework for cross-organisational business processes with an agent-based approach for flexible process execution. We show how the W3C recommendation for Semantic Web service descriptions can be combined with the model-driven approach for rapid service integration.



Author(s):  
Yéhia Taher ◽  
Michael Parkin ◽  
Mike P. Papazoglou ◽  
Willem-Jan van den Heuvel


2016 ◽  
Vol 12 (S325) ◽  
pp. 122-125
Author(s):  
Darko Jevremović ◽  
Veljko Vujčić ◽  
Vladimir A. Srećković ◽  
Jovan Aleksić ◽  
Sanja Erkapić ◽  
...  

AbstractWe present simulator of alerts for the Large Synoptic Survey Telescope (LSST) developed by Belgrade group. This simulator will be used in testing the functionality of external event brokers/Complex Event Processing (CEP) engines. It is based on current LSST Simulation framework and allows for different classes of objects to be ‘alerted’. A Web service based on our simulator is prototyped and can be accessed by developers of brokers/CEP engines.



Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4125 ◽  
Author(s):  
Pedro Clemente ◽  
Adolfo Lozano-Tello

Nowadays, data are being produced like never before because the use of the Internet of Things, social networks, and communication in general are increasing exponentially. Many of these data, especially those from public administrations, are freely offered using the open data concept where data are published to improve their reutilisation and transparency. Initially, the data involved information that is not updated continuously such as budgets, tourist information, office information, pharmacy information, etc. This kind of information does not change during large periods of time, such as days, weeks or months. However, when open data are produced near to real-time such as air quality sensors or people counters, suitable methodologies and tools are lacking to identify, consume, and analyse them. This work presents a methodology to tackle the analysis of open data sources using Model-Driven Development (MDD) and Complex Event Processing (CEP), which help users to raise the abstraction level utilised to manage and analyse open data sources. That means that users can manage heterogeneous and complex technology by using domain concepts defined by a model that could be used to generate specific code. Thus, this methodology is supported by a domain-specific language (DSL) called OpenData2CEP, which includes a metamodel, a graphical concrete syntax, and a model-to-text transformation to specific platforms, such as complex event processing engines. Finally, the methodology and the DSL have been applied to two near real-time contexts: the analysis of air quality for citizens’ proposals and the analysis of earthquake data.



Author(s):  
Anis Charfi ◽  
Sameh Hbaieb Turki ◽  
Ayman Chaâbane ◽  
Heiko Witteborg ◽  
Rafik Bouaziz


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