Convergence in crossover service explores the crossover phenomenon, crossover services and the convergence issues that arise in typical crossover scenarios. Unlike traditional service integration, crossover services need to realize multidimensional convergence of pattern, design, run-time environment, quality, and value. This book creatively proposes a framework of crossover service pattern modeling, simulation, evaluation, and convergence to achieve quantitative calculation and analysis of crossover service patterns. Also, this book provides a requirements convergence modeling and analysis framework to support crossover services requirements analysis and design. In the meantime, authors develop a new crossover service network architecture to achieve efficient governance of large-scale crossover services and construct an evaluation and optimization system for service quality and value. In the case of the rural Taobao scenario, the theory and engineering methods presented in this book can provide better solutions for crossover convergence. This book is of great interest to researchers and academics wishing to see what crossover services are, how they are implemented, and what benefits they bring.

Proposes a framework of crossover service pattern modeling, simulation, evaluation, and convergence Provides a requirements convergence modeling and analysis framework to support crossover services requirements Develops a new crossover service network architecture to achieve efficient governance of large-scale crossover services

Autorentext
Jianwei Yin received a Ph.D. degree in Computer Science from Zhejiang University, China, in 2001. He was Visiting Scholar at the Georgia Institute of Technology, Atlanta, GA, USA. He is currently Full Professor at the College of Computer Science and Technology, Zhejiang University. To date, he has published more than 200 articles in top international journals and conferences. In 2018, he was awarded the National Outstanding Youth Fund . His current research interests include service computing, cloud computing, data science, blockchain, and business process management.

Bing Li is currently Professor at the School of Computer, Wuhan University. He is Distinguished Member of the China Computer Federation (CCF), Member of IEEE, and Member of ACM. He serves as Member of three CCF Technical Committees, such as service computing, software engineering, and education. In recognition of his contributions to scientific and technological progress, he received the Second Class Award of the Chinese National Scientific and Technological Progress Award in 2009, the First Class Award of the Hubei Province Scientific and Technological Progress Award in 2008/2011/2015, and the First Class Award of the Natural Sciences Award of Chinese Ministry of Education in 2007.

Zhongjie Wang is Professor at the Faculty of Computing, Harbin Institute of Technology (HIT). He received a Ph.D. degree in Computer Science from Harbin Institute of Technology in 2006. His research interests include services computing, mobile and social networking services, and software architecture. He is Author of more than 80 publications. He is Member of the IEEE.

Shuiguang Deng is currently Full Professor at the College of Computer Science and Technology in Zhejiang University, China, where he received B.S. and Ph.D. degrees in Computer Science in 2002 and 2007, respectively. He previously worked at MIT in 2014 and Stanford University in 2015 as Visiting Scholar. His research interests include edge computing, service computing, cloud computing, and business process management. He serves for the journal IEEE Trans. on Services Computing, Knowledge and Information Systems, Computing and IET CPS as Associate Editor. To date, he has published more than 100 papers in journals and refereed conferences. In 2018, he was granted the Rising Star Award by IEEE TCSVC. He is Fellow of IET and Senior Member of IEEE.

Inhalt

Crossover Service: A Brief Overview.- Crossover Service Pattern: Modeling and Computing.- Crossover Service Requirements: Analysis and Design.- Crossover Service Infrastructure: Service Network.- Crossover Service Optimization: Value and Quality.- Crossover Service Platform: Scenarios and Applications.