SPECIFICATION DESCRIPTION SUPPORTING METHOD OF TELECOMMUNICATIONS NETWORKS MANAGEMENT USING INFORMATION MODEL AND PROCESS MODEL

Citation
R. Matsumura et O. Miyagishi, SPECIFICATION DESCRIPTION SUPPORTING METHOD OF TELECOMMUNICATIONS NETWORKS MANAGEMENT USING INFORMATION MODEL AND PROCESS MODEL, IEICE transactions on communications, E78B(1), 1995, pp. 39-46
Citations number
12
Categorie Soggetti
Engineering, Eletrical & Electronic",Telecommunications
ISSN journal
09168516
Volume
E78B
Issue
1
Year of publication
1995
Pages
39 - 46
Database
ISI
SICI code
0916-8516(1995)E78B:1<39:SDSMOT>2.0.ZU;2-Y
Abstract
Managed Objects (MOs) can be specified by the combination of a static information model and a dynamic process model. First, this paper prese nts a mapping of attributes from a process model diagram to an informa tion model diagram. Then, it introduces a concept of topology into the se two models and proposes a hypothesis about the relationship of topo logy in these two models. To explicitly explain the hypothesis, it can be stated that all attributes of incoming or outgoing data related to a process in a process model are mapped to an information model where these attributes are interconnected by an explicit relationship which corresponds to a specific meaning, such as physical containment or lo gical connection. From an intuitive perspective, it can be said that i f two attributes have a close topological relationship in a process mo del, the mapped attributes also have a close topological relationship in an information model. This hypothesis provides clues for determinin g whether there is an error in an attribute either in the process mode l or in the information model. By examining the way attributes of inco ming or outgoing data related to a process are mapped to an informatio n model, we can detect whether there is an error with respect to the p rocess. The error correction is performed with the assistance of proba bility analysis. The method of error detection and correction can be i mplemented in a computer aided tool. Then, error detection on the attr ibute level becomes automatic, and error correction on the attribute l evel becomes interactive through the computer aided tool. Finally, the validity of the hypothesis is confirmed by analyzing ITU-T Recommenda tion M.3100. The specification of the fabric object class defined in M .3100 is transformed into these two models and the hypothesis is valid ated for the analysis of the mapping between these two models.