Inclusion of Expert Rules into Normalized Management Models for Description of MIB Structure
Antonio Martín, Carlos Leo · InTech eBooks · 2008
In this paper we showed possibilities to apply and integrated the artificial intelligence techniques in network management and supervision, using ISO and Internet network management models. In fact we believe that these kinds of applications underline the power of CMIS as both simple and powerful knowledge modeling languages, offering possibilities that simpler protocols such as SNMP and CMIP do not offer. We have seen that the current management systems are not able to solve questions shown in the initial parts of this work. Until now the managed objects did not contain the knowledge coming from base of the expert systems. The managed objects are not able to use the knowledge management, which collects the management operations and control of a management domain. The point is to solve the current problem to undertake an intelligent integrated management. We offer an original contribution to include expert rules in the specifications of the network features, a new model named Integrated Intelligent Management an extension of standard GDMO+ and MIB II+. This paper presented a language for formalizing the knowledge base of the expert systems descriptions in OSI and Internet telecommunications management network framework. A number of questions which arise when designing a language have been discussed and a general framework for the inclusion of formal knowledge management in MIB specifications has been presented. The proposed model was used to formally specify the expert knowledge. An expert system has been implemented and used to manage the specification to the language used by the simulation environment. This demonstrates that expert systems is capable of specifying the knowledge of a reasonably sized information model. A large amount of the knowledge could be described in a surprisingly short and easy to understand manner. The specification of the NOMOS+ information model showed that a large part of the knowledge management was specified in a rather imperative fashion. Our research has demonstrated an useful and interesting modular approach in the development of a knowledge based integrated expert system which can be quite powerful in tackling the huge and enormously wide subject on diagnosis of common problems in management network. It is suggested that future work should aim to: Further development of this prototype system by adding more modules based on the framework provided by NOMOS+ so that more in-depth knowledge and specialized subjects may be captured; in particular the following are of great interest: Development of a design module, possibly a large system, for identifying specific areas as accounting management, configuration management, performance management and security management. Enhancement work in combining and integrating the various modules will be required as the number of modules increases with the growth of the knowledge base. Use of external programs and graphics interface to enhance the functions of the system will be desirable. A graphics interface has not been adopted in NOMOS+ but is an option that can be added in future enhancements to the system.