A multi-agent monitoring and diagnostic system for TCP/IP-based network and its coordination

Toshiharu Sugawara; Ken ichiro Murakami; Shigeki Goto

doi:10.1016/S0950-7051(01)00150-2

A multi-agent monitoring and diagnostic system for TCP/IP-based network and its coordination

Toshiharu Sugawara^*, Ken ichiro Murakami, Shigeki Goto

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

This paper describes an application of an AI-based multiagent system to the management and diagnosis of TCP/IP-based intranet/intra-AS (autonomous system) computer networks. A copy of this system is attached to each network segment and is made responsible for that segment. It captures packets in the promiscuous mode and analyzes their data in real time. Based on this analysis, the data needed to manage the local network are obtained, any changes in the local network or network components are recognized, and problems are detected. When a problem is reported by a user or detected by the system, the problem is diagnosed cooperatively or autonomously depending on its type. The activities of the agents are coordinated based on the concepts of coordination levels and functional organizations. An example of cooperative diagnosis clarifies why this multiagent approach is essential for network management.

Original language	English
Pages (from-to)	367-383
Number of pages	17
Journal	Knowledge-Based Systems
Volume	14
Issue number	7
DOIs	https://doi.org/10.1016/S0950-7051(01)00150-2
Publication status	Published - 2001 Nov 1
Externally published	Yes

Keywords

Coordination
Diagnosis
Internet
Multi-agent application

ASJC Scopus subject areas

Management Information Systems
Software
Information Systems and Management
Artificial Intelligence

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10.1016/S0950-7051(01)00150-2

Cite this

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abstract = "This paper describes an application of an AI-based multiagent system to the management and diagnosis of TCP/IP-based intranet/intra-AS (autonomous system) computer networks. A copy of this system is attached to each network segment and is made responsible for that segment. It captures packets in the promiscuous mode and analyzes their data in real time. Based on this analysis, the data needed to manage the local network are obtained, any changes in the local network or network components are recognized, and problems are detected. When a problem is reported by a user or detected by the system, the problem is diagnosed cooperatively or autonomously depending on its type. The activities of the agents are coordinated based on the concepts of coordination levels and functional organizations. An example of cooperative diagnosis clarifies why this multiagent approach is essential for network management.",

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AU - Goto, Shigeki

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N2 - This paper describes an application of an AI-based multiagent system to the management and diagnosis of TCP/IP-based intranet/intra-AS (autonomous system) computer networks. A copy of this system is attached to each network segment and is made responsible for that segment. It captures packets in the promiscuous mode and analyzes their data in real time. Based on this analysis, the data needed to manage the local network are obtained, any changes in the local network or network components are recognized, and problems are detected. When a problem is reported by a user or detected by the system, the problem is diagnosed cooperatively or autonomously depending on its type. The activities of the agents are coordinated based on the concepts of coordination levels and functional organizations. An example of cooperative diagnosis clarifies why this multiagent approach is essential for network management.

AB - This paper describes an application of an AI-based multiagent system to the management and diagnosis of TCP/IP-based intranet/intra-AS (autonomous system) computer networks. A copy of this system is attached to each network segment and is made responsible for that segment. It captures packets in the promiscuous mode and analyzes their data in real time. Based on this analysis, the data needed to manage the local network are obtained, any changes in the local network or network components are recognized, and problems are detected. When a problem is reported by a user or detected by the system, the problem is diagnosed cooperatively or autonomously depending on its type. The activities of the agents are coordinated based on the concepts of coordination levels and functional organizations. An example of cooperative diagnosis clarifies why this multiagent approach is essential for network management.

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KW - Internet

KW - Multi-agent application

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A multi-agent monitoring and diagnostic system for TCP/IP-based network and its coordination

Abstract

Keywords

ASJC Scopus subject areas

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