Probabilistic resource space model for managing resources in cyber-physical society


Autoria(s): Zhuge, Hai; Xing, Yunpeng
Data(s)

24/02/2012

Resumo

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 multi-dimensional classification space. It supports generalization and specialization on multi-dimensional 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.

Formato

application/pdf

Identificador

http://eprints.aston.ac.uk/19211/1/Probabilistic_resource_space_model.pdf

Zhuge, Hai and Xing, Yunpeng (2012). Probabilistic resource space model for managing resources in cyber-physical society. IEEE Transactions on Service Computing, 5 (3), pp. 404-421.

Relação

http://eprints.aston.ac.uk/19211/

Tipo

Article

PeerReviewed