3 research outputs found

    A network management framework using mobile agents

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    Network management of heterogeneous networks is still hard to achieve automatically and efficiently. In this study, we present a framework that has the ability to perform network management tasks on heterogeneous networks using mobile agents. This framework handles the inability of many network devices to run mobile agents. While the main focus of the project is the framework, we present an example of mobile agents that are able to locate a fixed set of network failures and detect the possible causes accurately. Experimental results show that some network management tasks can be more easily executed by mobile agents. In particular, search and diagnostic mobile agents are able to find more precisely a cause of a network failure by finding alternate paths to gather more data about the failure

    Network modeling for management applications using intelligent mobile agents

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    A network model is a fundamental part of a network management solution. Traditionally, network models have provided views with static behavior and limited state of the network elements that they represent. This paper discusses an alternative approach to the creation and maintenance of network models that relies on the use of mobile agents and the principle of delegation. In the intelligent network model proposed, behavior and state are part of the model and both may be dynamically updated. A mobile code environment being used to support the research is briefly described

    Network Modeling For Management Applications Using Intelligent Mobile Agents

    No full text
    A network model is a fundamental part of a network management solution. Traditionally, network models have provided views with static behavior and limited state of the network elements that they represent. This paper discusses an alternative approach to the creation and maintenance of network models that relies on the use of mobile agents and the principle of delegation. In the intelligent network model proposed, behavior and state are part of the model and both may be dynamically updated. A mobile code environment being used to support the research is briefly described. 1
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