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…mehr
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.
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 Sof
tware 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.
Inhaltsangabe
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
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
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