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.
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.
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
Explores applied cloud computing for data intensive science and software architecture
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 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. 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. 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. 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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