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Resource Service Management in Manufacturing Grid System

2012 Edition, January 1, 2012

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Active, Most Current

EN
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ISBN: 9781118122310
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Product Details:

  • Revision: 2012 Edition, January 1, 2012
  • Published Date: January 2012
  • Status: Active, Most Current
  • Document Language: English
  • Published By: John Wiley and Sons (WILEY)
  • Page Count: 550
  • ANSI Approved: No
  • DoD Adopted: No

Description / Abstract:

The aim of this book is to make advanced computing technologies (service, grid and cloud computing) to be fully used in manufacturing so as to enhance the utilization and sharing of manufacturing resources, and to speed up the transformation from production-oriented manufacturing to service-oriented manufacturing. Resource Service Management in Manufacturing Grid System constructs a concrete theory for MGrid and presents implementation methods for MGrid resources and services. Specifically, the book: Breaks through the application research field of grid technology, turning grid technology from traditional large-scale science computing to application in manufacturing. Establishes the theoretical foundation for MGrid Resource Service Optimal Allocation (RSOA). From the perspectives of manufacturing science, systematics, ontology, fuzzy mathematics, information theory, set theory, and social psychology, the book explains the basic theory and the implementation method for addressing MGrid RSOA in many aspects such as implementation framework of RSOA, digital description, match and search, quality of service modeling and evaluation, optimal-selection, composition of resource service, and resource service combination network, failure detection and recovery of RSOA. Provides relevant theories and methods of MGrid RSOA, such as resource service match and search, QoS evaluation, optimal selection, composition, and failure-tolerance management. The theories can be used not only in addressing the RSOA problem in MGrid, but also in resolving the RSOA problem in other related SOA-based distributed systems. Audience Policymakers, executives, academics, educators, researchers, and practitioners/engineers working in the interdisciplinary fields of manufacturing, information technology/computer science, operational research, simulation, industrial informatics and management science.