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Abstract Registration Due Sep 1, 2014
Submission Deadline Sep 20, 2014
Notification Due Jan 15, 2015
Final Version Due Feb 15, 2015

Call For Papers

Proposal Submission Deadline (Extended): September 1st, 2014

In recent years, volumes of data produced by a variety of heterogeneous sources have increased around the world. As a result, both Information Technology and business users need to efficiently collect and process this huge amount of data in real time to discover relevant situations which will allow driving successful business decisions or actions. In this regard, big data is an approach which helps to process this huge amount of data; however, it normally focuses on data stored in databases. For that reason, it would not be the best solution to process data from different sources in real time, but it can be complemented with fast data, an approach which allows to continuously analyse data.
Therefore, cutting-edge IT systems will need to sense and respond to a huge amount of signals sourced from different entities in real-time. These events would be produced by Internet of Things (IoT), which provides a large amount of data which can be shared or consumed by thousands of individuals and organizations around the world. These organizations can be connected using Service-Oriented Architectures (SOAs); however, SOAs do not provide an efficient solution to consume IoT data for those systems requiring on-demand detection of significant situations. Complex Event Processing (CEP) may be used for this purpose; the main advantage of using CEP to process complex events is that the latter can be identified and reported in real time, reducing the latency in decision making.
With the aim of responding to events that occur as a result of business processes, Event-Driven Service-Oriented Architectures (ED-SOAs or SOAs 2.0) have been proposed. These architectures will ensure that services do not only exchange messages between them, but also publish and receive events notifications from others. Thus, combining the use of CEP and SOA 2.0, the detection of relevant events in complex and heterogeneous systems will be reached.

The main aim of this publication is to collect and compile the most representative approaches in current research which tackle the different faces of Event-Driven SOAs. In this regard, readers will be able to acquire a panoramic overview of existing solutions for dealing with big amounts of data in real time in different development scopes. In this sense, the book would have a twofold purpose, not only as background reading on SOA 2.0, but also as a reference book in the search for dealing with 2.0 solutions to software engineering problems.

Data processing for event-driven SOA
• Complex Event Processing
• Big Data
• Fast Data
Architectures for Event-Driven SOA
• Enterprise Service Buses
• Raspberry and Arduino
• Internet of Things
• Security Engineering for SOA 2.0
Development Methodologies for Event-Driven SOA
• Model-Driven Development
• Domain Specific Languages
• Cloud-Computing
Scenarios for Event-Driven SOA
• Smart cities Ambient
• Assisted Living
• Context-Awareness

Researchers and practitioners are invited to submit on or before July 25th, 2014, a 2-3 page chapter proposal clearly explaining the mission and concerns of his or her proposed chapter. Authors of accepted proposals will be notified before July 30th, 2014 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by September 20th, 2014. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

All proposals should be submitted through the following link:

Proposal Submission Deadline: September 1st, 2014
Full Chapter Submission: September 20th, 2014
Review Results Returned: January 15th, 2015
Final Chapter Submission: February 15th, 2015

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.) in the Advances in Systems Analysis, Software Engineering, and High Performance Computing (ASASEHPC) Book Series. For additional information regarding the publisher, please visit This publication is anticipated to be released in 2015.
Series Editor: Vijayan Sugumaran (Oakland University, USA) ISSN: 2327-3453

EAB (To be extended)
Amal Elgammal, University College Cork, Ireland
Antonio Ruiz-Cortes, Universidad de Sevilla, Spain
Bernabé Dorronsoro, University of Luxembourg, Luxembourg
Chema Conejero, Universidad de Extremadura, Spain
Dinh Khoa Nguyen, Tilburg University, The Netherlands
George Spanoudakis, City University London, UK
Gustavo Rossi, Universidad Nacional de La Plata, AR
Hong-Linh Truong, Vienna University of Technology AU
Howard Foster,City University London, United Kingdom
Javier Cubo, University of Málaga, Spain
Juan Carlos Preciado, Universidad de Extremadura, Spain
Laura González, Universidad de la República de Uruguay, Uruguay
Marco Aiello, University of Groningen, The Netherlands
Marcos López, Universidad Rey Juan Carlos, Spain
Massimo Mecella, Univ. Roma La Sapienza, IT
Quang Z. Sheng, University of Adelaide, Australia
Vasilios Andrikopoulos, University of Stuttgart, Germany

For any further information you can visit the book website at

Please do not hesitate to contact us for further inquiries:
Guadalupe Ortiz, University of Cádiz, Spain (
Juan Boubeta-Puig, University of Cádiz, Spain (

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