Title :
Probabilistic Resource Space Model for Managing Resources in Cyber-Physical Society
Author :
Zhuge, Hai ; Xing, Yunpeng
Author_Institution :
Key Lab. of Intell. Inf. Process., Beijing, China
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.
Keywords :
classification; resource allocation; cyber-physical society; multidimensional classification space; probabilistic resource space model; resource management; Biological system modeling; Computational modeling; Data models; Extraterrestrial phenomena; Probabilistic logic; Semantics; XML; Cyber-physical society; cyber-physical-socio services.; faceted navigation; nonrelational data model; resource management; resource space model; semantic link network;
Journal_Title :
Services Computing, IEEE Transactions on
DOI :
10.1109/TSC.2011.12