Business and Scientific Workflows: A Web Service-Oriented Approach (IEEE Press Series on Systems Science and Engineering)

Focuses on how to use web service computing and service-based workflow technologies to develop timely, effective workflows for both business and scientific fields

Utilizing web computing and Service-Oriented Architecture (SOA), Business and Scientific Workflows: A Web Service–Oriented Approach focuses on how to design, analyze, and deploy web service–based workflows for both business and scientific applications in many areas of healthcare and biomedicine. It also discusses and presents the recent research and development results.

This informative reference features application scenarios that include healthcare and biomedical applications, such as personalized healthcare processing, DNA sequence data processing, and electrocardiogram wave analysis, and presents:

• Updated research and development results on the composition technologies of web services for ever-sophisticated service requirements from various users and communities
• Fundamental methods such as Petri nets and social network analysis to advance the theory and applications of workflow design and web service composition
• Practical and real applications of the developed theory and methods for such platforms as personalized healthcare and Biomedical Informatics Grids
• The authors' efforts on advancing service composition methods for both business and scientific software systems, with theoretical and empirical contributions

With workflow-driven service composition and reuse being a hot topic in both academia and industry, this book is ideal for researchers, engineers, scientists, professionals, and students who work on service computing, software engineering, business and scientific workflow management, the internet, and management information systems (MIS).

WEI TAN, PhD, is currently a Research Staff Member at IBM's Thomas J. Watson Research Center. He received a Best Paper Award from the IEEE International Conference on Services Computing (2011), a Pacesetter Award from Argonne National Laboratory (2010), and caBIG Teamwork Award from the National Cancer Institute (2008).

MENGCHU ZHOU, PhD, is a Professor of Electrical and Computer Engineering and Director of the Discrete Event Systems Laboratory at the New Jersey Institute of Technology (NJIT). He is also a Professor at The Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China.