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Title : Evaluation on Modeling Languages for Generic Network Management Data Models
Author(s) : D. Xiao, H. Xu
Filename : draft-xiao-evaluate-dml-00.txt
Pages : 32
Date : 2007-7-6
In some scenarios, the multiplicity of network management models
implies the use of multiple management data modeling languages, which
are used to model the resources to be managed. Each language differs
in the level of various capabilities and expressiveness, most of
which are not easily measured. However, existing data modeling
languages have drawbacks of different levels, which hinder them in
adapting to the requirements of next generation network management.
The aim of our project is then to establish a framework of evaluation
to compare different management data modeling languages based on a
set of criteria, the most important part of which are demonstrated in
this memo, being modeling approaches, expressiveness, readability,
interoperability, extensibility and others, and present some
perspectives on developing future data modeling languages for next
generation network management, possibly integrating existing ones.
Thus, this memo summarizes the characteristics of existing data
modeling languages through comparison based on given criteria for
evaluation.
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