Description:
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.
Brief description: 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.