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Informationen zum Autor Ivan Mistrik is a computer scientist who is interested in system and software engineering (SE/SWE) and in system and software architecture (SA/SWA), in particular: life cycle system/software engineering, requirements engineering, relating software requirements and architectures, knowledge management in software development, rationale-based software development, aligning enterprise/system/software architectures, and collaborative system/software engineering. He has more than forty years’ experience in the field of computer systems engineering as an information systems developer, R&D leader, SE/SA research analyst, educator in computer sciences, and ICT management consultant. In the past 40 years, he has been primarily working at various R&D institutions and has done consulting on a variety of large international projects sponsored by ESA, EU, NASA, NATO, and UN. He has also taught university-level computer sciences courses in software engineering, software architecture, distributed information systems, and human-computer interaction. He is the author or co-author of more than 80 articles and papers in international journals, conferences, books and workshops, most recently a chapter Capture of Software Requirements and Rationale through Collaborative Software Development, a paper Knowledge Management in the Global Software Engineering Environment, and a paper Architectural Knowledge Management in Global Software Development. He has written a number of editorials and prefaces, most recently for the book on Aligning Enterprise, System, and Software Architecture and the book on Agile Software Architecture. He has also written over 120 technical reports and presented over 70 scientific/technical talks. He has served in many program committees and panels of reputable international conferences and organized a number of scientific workshops, most recently two workshops on Knowledge Engineering in Global Software and Development at International Conference on Global Software Engineering 2009 and 2010 and IEEE International Workshop on the Future of Software Engineering for/in the Cloud (FoSEC) held in conjunction with IEEE Cloud 2011.He has been the guest-editor of IEE Proceedings Software: A special Issue on Relating Software Requirements and Architectures published by IEE in 2005 and the lead-editor of the book Rationale Management in Software Engineering published by Springer in 2006. He has been the co-author of the book Rationale-Based Software Engineering published by Springer in May 2008. He has been the lead-editor of the book Collaborative Software Engineering published by Springer in 2010, the book on Relating Software Requirements and Architectures published by Springer in 2011 and the lead-editor of the book on Aligning Enterprise, System, and Software Architectures published by IGI Global in 2012. He was the lead-editor of the Expert Systems Special Issue on Knowledge Engineering in Global Software Development and the co-editor of the JSS Special Issue on the Future of Software Engineering for/in the Cloud, both published in 2013. He was the co-editor for the book on Agile Software Architecture published in 2013. Currently, he is the lead-editor for the book on Economics-driven Software Architecture to be published in 2014. Rami Bahsoon is a Senior lecturer in Software Engineering and founder of the Software Engineering for/in the Cloud interest groups at the School of Computer Science, University of Birmingham, UK. His group currently comprises nine PhD students working in areas related to cloud software engineering and architectures. The group’s research aims at developing architecture and frameworks to support and reason about the development and evolution of dependable ultra-large complex and data-intensive software systems, where the investigations span cloud computing architectures and their economics. Bahsoon had founded and co-organized the International ...
Inhaltsverzeichnis
Fundamentals of Software Architecture for Cloud and Big Data 1. Cloud and Big Data Requirements Engineering 2. Cloud and Big Data Software Architectures and Styles 3. Architecture modelling and description languages for Cloud and Big Data 4. Evaluation, Analysis and Verification for Cloud and Big Data Architectures 5. Architecture-centric evolution for cloud and Big Data 6. Architecting for Data and Cloud Service 7. Self-adaptive and managed architectures for cloud and Big Data 8. Economics-Driven architecting for Cloud in the presence of Big Data 9. Architecture-level testing for Cloud and Big Data Services 10. Ethical and legal issues in architecting for cloud and Big Data
Advanced Applications for Cloud and Big Data applications 11. Data-Driven Applications on the cloud 12. Cloud and Big Data Simulation Tools 13. Architectures for Data Analytic Applications on the Cloud 14. Intelligent Services benefiting from Cloud and Big Data
Future Reflections and Experience Reports
