Title
Probabilistic Resource Space Model for Managing Resources in Cyber-Physical Society
Abstract
Classification is the most basic method for organizing resources in the physical space, cyber space, socio space, and mental space. To create a unified model that can effectively manage resources in different spaces is a challenge. The Resource Space Model RSM is to manage versatile resources with a multidimensional classification space. It supports generalization and specialization on multidimensional classifications. This paper introduces the basic concepts of RSM, and proposes the Probabilistic Resource Space Model, P-RSM, to deal with uncertainty in managing various resources in different spaces of the cyber-physical society. P-RSM's normal forms, operations, and integrity constraints are developed to support effective management of the resource space. Characteristics of the P-RSM are analyzed through experiments. This model also enables various services to be described, discovered, and composed from multiple dimensions and abstraction levels with normal form and integrity guarantees. Some extensions and applications of the P-RSM are introduced.
Year
DOI
Venue
2012
10.1109/TSC.2011.12
IEEE T. Services Computing
Keywords
DocType
Volume
resource space,physical space,resource space model rsm,normal form,cyber space,resource allocation,probabilistic resource space model,faceted navigation,resource management,resource space model,semantic link network,multidimensional classification space,cyber-physical society,mental space,classification,socio space,Cyber-physical society,nonrelational data model,cyber-physical-socio services.,different space
Journal
5
Issue
ISSN
Citations 
3
1939-1374
14
PageRank 
References 
Authors
0.56
0
2
Name
Order
Citations
PageRank
Hai Zhuge12155159.14
2 22150.92