Subject: [OPS-AREA] An Updated Internet Draft for Evaluation on Data Modeling Languages in the Interest of NETCONF-Based

From: xuhui <[email-masked]>
Date: Fri, 27 Jun 2008 02:17:02 +0000

Hello,         We have updated our draft names "An Evaluation Framework for Data Modeling Languages in Network Management Domain". It can be found here:  http://www.ietf.org/internet-drafts/draft-xiao-evaluate-dml-02.txt  We are Debao Xiao and Hui Xu. Debao Xiao is a professor at Institute of Computer Network and Communication, Huazhong Normal University (http://inc.ccnu.edu.cn) and Hui Xu is a PhD student. Professor Xiao has many years of experience in the area of network management and we are now working in a research project (funded by both the key scientific and technological project of Hubei province in P.R. China and the key scientific and technological project of Wuhan city in P. R. China) about next generation network management and security management as well.   In some scenarios, the multiplicity of network management models implies the use of multiple management data modeling languages, which model the resources to be managed. Each language differs in the level of 
 various capabilities and expressiveness, most of which are not easily measured.One of the activities in our project has then been to address the problem about how to establish a framework of evaluation to compare different management data modeling languages based on a set of criteria.  Another activity of our project is to prospect the essentail features of future data modeling language based on proposed framework of evaluation, since existing ones have drawbacks of different levels, which hinder them in adapting to the requirements of next generation network management.  Our aim is to application of this framework to NETCONF-based data modeling, so as to promote the standardization progress of data modeling languages for NETCONF-based network management.  We have demonstrated the most important part of our proposed criteria in this draft, which are modeling approaches, expressiveness, readability, interoperability, extensibility and others, and have also presented some pers
 pectives on developing future data modeling languages for next generation network management, possibly integrating existing ones. The characteristics of existing data modeling languages are then summarized through comparison based on given criteria for evaluation.  An obvious update of this version to prior ones is that, with the use of our proposed evaluation framework, we compare the possible NETCONF data modeling languages that are XML Schema and YANG with SMIng. However, this is still a preparatory work, calling for further efforts.  We hope our work can contribute to any future work on data modeling for next generation network management, especially for NETCONF-based one.If there is significant interest, we would be happy to give a presentation of this draft.  Best regards,Debao Xiao and Hui Xu
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