Paper Info
Title
Moving knowledge agents for network and service management
Abstract
The emerging global information infrastructure requires new framework for moving network and service management solutions from producers to consumers. Traditional mechanisms for such movement re- quire sophisticated human intelligence and expertise, high costs in installation and maintenance, or im- pose high traffic load/availability requirement on the global networks. This paper proposes a new framework for developing, marketing and deploying management solutions using Java-based Mobile In- telligent Agents. The management solutions are regarded as knowledge rules, defined as Java objects and structured into a hierarchy by the hierarchical specialization relationship among the problem situ- ations which the solutions are addressing. With this hierarchical organization of solutions, we can ob- tain the Object-Oriented style of reusability/interoperability, and accumulative construction/ standardization, of management functionalities in the distributed open environment. To manage the real resources, Java-based Mobile Intelligent Agents (IA) carrying a hierarchy of management solutions are envisaged, which travel among the managed network sites to solve the problems in the environment, by finding out and applying locally the most suitable management solution.
Year
Venue
Keywords
1997
MMNS
mobile agents,expert systems,key-words: intelligent agents,service management,ja- va,network and service management,tmn,etc...,knowledge agent,knowledge/rule-based systems submission area: ai techniques for network and services management intelligent agents,object oriented,expert system,intelligent agent,rule based system,mobile agent
Field
DocType
ISBN
Service management,Intelligent agent,Element management system,Interoperability,Mobile agent,Knowledge management,Java,Hierarchical organization,Business,Process management,Network management station
Conference
0-412-82630-5
Citations 
PageRank 
References 
0
0.34
3
Authors
2
Name
Order
Citations
PageRank
Tianning Zhang1163.58
Stefan Covaci219735.07