Resource Service Management in Manufacturing Grid System
β Scribed by Fei Tao, Lin Zhang, Yefa Hu(auth.)
- Year
- 2012
- Tongue
- English
- Leaves
- 539
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book includes discussion on advance computer technologies such as cloud computing, grid computing, and service computing. In addition, it furthers the theory and technology of grid technologies that is used in manufacturing, and accelerates the development of service-oriented manufacturing.
Content:Chapter 1 Introduction to Manufacturing Grid (pages 1β26):
Chapter 2 Resource Service Optimal?Allocation System in MGrid (pages 27β41):
Chapter 3 Digital Description of MGrid Resource Service (pages 43β74):
Chapter 4 MGrid Resource Service Match and Search (pages 75β114):
Chapter 5 Resource Service QoS Modeling and Evaluation (pages 115β141):
Chapter 6 Resource Service Trust?QoS Evaluation (pages 143β184):
Chapter 7 Resource Service Optimal?selection and Composition Framework (pages 185β213):
Chapter 8 Resource Service Optimal?selection Based on Intuitionistic Fuzzy Set and Non?functionality QoS (pages 215β252):
Chapter 9 Correlation Relationship Management in Resource Services Composition (pages 253β273):
Chapter 10 Resource Service Composition Optimal?selection (pages 275β309):
Chapter 11 Resource Services Composition Flexibility (pages 311β356):
Chapter 12 Resource Services Composition Network (pages 357β401):
Chapter 13 Failure Detection and Recovery in Resource Service Optimal?Allocation (pages 403β434):
Chapter 14 Summary of the Application of Grid Technology in Manufacturing (pages 435β467):
Chapter 15 Cloud Manufacturing: Development and Commerce Realization of MGrid (pages 469β481):
π SIMILAR VOLUMES
<p><P>Manufacturing systems, regardless of their size, have to work with scarce resources in dynamic environments. Managers are asked to assign production facilities over time to parallel activities respecting operational constraints and deadlines while keeping resource costs as low as possible. Thu
<P>Manufacturing systems, regardless of their size, have to work with scarce resources in dynamic environments. Managers are asked to assign production facilities over time to parallel activities respecting operational constraints and deadlines while keeping resource costs as low as possible. Thus,