Resource Service Management in Manufacturing Grid System

The aim of this book is to make advanced computing technologies(service, grid and cloud computing) to be fully used inmanufacturing so as to enhance the utilization and sharing ofmanufacturing resources, and to speed up the transformation fromproduction–oriented manufacturing to service–orientedmanufacturing.

Resource Service Management in Manufacturing Grid Systemconstructs a concrete theory for MGrid and presents implementationmethods for MGrid resources and services.

Specifically, the book:

Breaks through the application research field of gridtechnology, turning grid technology from traditional large–scalescience computing to application in manufacturing.

Establishes the theoretical foundation for MGrid ResourceService Optimal Allocation (RSOA). From the perspectives ofmanufacturing science, systematics, ontology, fuzzy mathematics,information theory, set theory, and social psychology, the bookexplains the basic theory and the implementation method foraddressing MGrid RSOA in many aspects such as implementationframework of RSOA, digital description, match and search, qualityof service modeling and evaluation, optimal–selection, compositionof resource service, and resource service combination network,failure detection and recovery of RSOA.

Provides relevant theories and methods of MGrid RSOA, such asresource service match and search, QoS evaluation, optimalselection, composition, and failure–tolerance management. Thetheories can be used not only in addressing the RSOA problem inMGrid, but also in resolving the RSOA problem in other relatedSOA–based distributed systems.

Audience

Policymakers, executives, academics, educators, researchers, andpractitioners/engineers working in the interdisciplinary fields ofmanufacturing, information technology/computer science, operationalresearch, simulation, industrial informatics and managementscience.

2. Resource Service Optimal–Allocation System in MGrid 27

3. Digital Description of MGrid Resource Service 43

4. MGrid Resource Service Match and Search 75

5. Resource Service QoS Modeling and Evaluation 115

6. Resource Service Trust–QoS Evaluation 143

7. Resource Service Optimal–selection and Composition 190

8. Resource Service Optimal–selection Based on IntuitionisticFuzzy Set and Non–functionality QoS 215

9. Correlation Relationship Management in Resource ServicesComposition 253

10. Resource Service Composition Optimal–selection 275

11. Resource Services Composition Flexibility 311

12. Resource Services Composition Network 357

13. Failure Detection and Recovery in Resource ServiceOptimal–Allocation 403

14. Summary of the Application of Grid Technology inManufacturing 435

15. Cloud Manufacturing: Development and Commerce Realization ofMGrid 469

Fei Tao is currently an associate professor at the BeihangUniversity of Aeronautics and Astronautics. He obtained his PhD inmechanical engineering from Wuhan University of Technology, China,in 2008. He was elected a research affiliate of CIRP, TheInternational Academy for Production Engineering, in 2009. Dr. Taois the founder and editor–in–chief of International Journal ofService and Computing Oriented Manufacturing.

Lin Zhang received his PhD in 1992 from the Department ofAutomation at Tsinghua University, China. He is a full professor atBeihang University, the Vice President of Chinese Association forSystem Simulation, and a member of the council of ChineseAssociation for Artificial Intelligence.

Yefa Hu received his PhD in mechanical design and theory fromWuhan University of Technology (WHUT) in 2001. He is a fullprofessor at the School of Mechanical and Electronic Engineering atWHUT. He has published two books on "Magnetic SuspensionTechnology" and "Manufacturing Grid," as well as more than sixtyrefereed international and domestic papers.