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Software Architecture for Big Data and the Cloud

  • ID: 4051209
  • Book
  • 470 Pages
  • Elsevier Science and Technology
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Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity.

The book's editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data, as well as expertise in software engineering for cloud and big data. This book brings together work across different disciplines in software engineering, including work expanded from conference tracks and workshops led by the editors.

  • Discusses systematic and disciplined approaches to building software architectures for cloud and big data with state-of-the-art methods and techniques
  • Presents case studies involving enterprise, business, and government service deployment of big data applications
  • Shares guidance on theory, frameworks, methodologies, and architecture for cloud and big data

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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

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Mistrik, Ivan

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.

Bahsoon, Rami
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 Software Engineering Workshop series on Software Architectures and Mobility held in conjunction with ICSE and the IEEE International Software Engineering IN/FOR the Cloud workshop in conjunction with IEEE Services. He was the lead editor of two journal special issues with the Journal of Systems and Software Elsevier- one on the Future of Software Engineering for/In the Cloud and another on Architecture and Mobility. Bahsoon has co-edited a book on Economics-driven Software Architecture, to be published by Elsevier in 2014 and co-edited another book on Aligning Enterprise, System, and Software Architectures, published by IGI Global in 2012. He is currently acting as the workshop chair for IEEE Services 2014, the Doctoral Symposium chair of IEEE/ACM Utility and Cloud Computing Conference (UCC 2014) and the track chair for Utility Computing of HPCC 2014. He holds a PhD in Software Engineering from University College London (UCL) for his research on evaluating software architecture stability using real options. He has also read for MBA-level certificates with London Business School.
Ali, Nour
Nour Ali is a Senior Lecturer at the University of Brighton since December, 2012. She holds a PhD in Software Engineering from the Polytechnic University of Valencia-Spain for her work in Ambients in Aspect-Oriented Software Architecture. Her research area encompasses service oriented architecture, software architecture, model driven engineering and mobile systems. In 2014, the University of Brighton have awarded her a Rising Stars project in Service Oriented Architecture Recovery and Consistency.
Heisel, Maritta
Maritta Heisel is a full professor for software engineering at the University Duisburg-Essen, Germany, since 2004. Her research interests include the development of dependable software, pattern- and component-based software development, requirements engineering (including quality requirements), software architecture, and software evolution. She is particularly interested in incorporating security and privacy considerations into software development processes and in integrating the development of safe and secure software. She has published over 100 scientific papers in various fields of software engineering.
Maxim, Bruce
Bruce R. Maxim has worked as a software engineer, project manager, professor, author, and consultant for more than thirty years. His research interests include software engineering, human computer interaction, game design, social media, artificial intelligence, and computer science education. Bruce Maxim is associate professor of computer and information science at the University of Michigan-Dearborn. He established the GAME Lab in the College of Engineering and Computer Science. He has published more than fifty papers on computer algorithm animation, game development, and engineering education. He is co-author of Software Engineering: A Practitioner's Approach, a leading software engineering textbook.
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