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Industrial Networks and Intelligent Systems. 9th EAI International Conference, INISCOM 2023, Ho Chi Minh City, Vietnam, August 2-3, 2023, Proceedings

Research Article

Integrated Intelligent Agent for SNMP-Based Network Management System

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-47359-3_2,
        author={Dung Ong Mau},
        title={Integrated Intelligent Agent for SNMP-Based Network Management System},
        proceedings={Industrial Networks and Intelligent Systems. 9th EAI International Conference, INISCOM 2023, Ho Chi Minh City, Vietnam, August 2-3, 2023, Proceedings},
        proceedings_a={INISCOM},
        year={2023},
        month={10},
        keywords={Network Management System Simple Network Management Protocol OPNET Modeler},
        doi={10.1007/978-3-031-47359-3_2}
    }
    
  • Dung Ong Mau
    Year: 2023
    Integrated Intelligent Agent for SNMP-Based Network Management System
    INISCOM
    Springer
    DOI: 10.1007/978-3-031-47359-3_2
Dung Ong Mau1,*
  • 1: Industrial University of Ho Chi Minh City
*Contact email: ongmaudung@iuh.edu.vn

Abstract

This paper proposes intelligent Simple Network Management Protocol (i-SNMP) agents, which add intelligent functions to the network routers, help routers know the most updated status of the whole network, and efficiently improve the performance as well as the stability of network devices. i-SNMP agents are able to monitor the network nodes, collect real-time network data, and communicate with the SNMP manager in the community. The SNMP manager can also diagnose and analyze the collected operational data and identify network anomalies. Then, proper actions can be taken to correct the network faults. OPNET Modeler is used in our research as the simulated network environment. By using OPNET Modeler, we describe the design and implementation of i-SNMP agents for managing the network and detecting network faults successfully.

Keywords
Network Management System Simple Network Management Protocol OPNET Modeler
Published
2023-10-31
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-47359-3_2
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