Foundations of distributed artificial intelligence
Foundations of distributed artificial intelligence
Agent System for Inter-AS Routing Error Diagnosis
IEEE Internet Computing
The Temporal and Topological Characteristics of BGP Path Changes
ICNP '03 Proceedings of the 11th IEEE International Conference on Network Protocols
Small Worlds: The Dynamics of Networks between Order and Randomness
Small Worlds: The Dynamics of Networks between Order and Randomness
A comparison of overlay routing and multihoming route control
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Locating internet routing instabilities
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
Policy-based BGP control architecture for autonomous routing management
Proceedings of the 2006 SIGCOMM workshop on Internet network management
Listen and whisper: security mechanisms for BGP
NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
Analysis of diagnostic capability for hijacked route problem
IPOM'07 Proceedings of the 7th IEEE international conference on IP operations and management
Detection and diagnosis of Inter-AS routing anomalies by cooperative intelligent agents
DSOM'05 Proceedings of the 16th IFIP/IEEE Ambient Networks international conference on Distributed Systems: operations and Management
A survey of active network research
IEEE Communications Magazine
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Diagnosing the anomalies of inter-AS (autonomous system) routing and flexibly controlling its behavior to adapt to environmental changes are difficult, because this information changes spatially and temporally over different administrative domains. Multi-agent-based systems that coincide with this control architecture have been applied to these domains, but the number of deployed agents is small and more accurate analysis taking into consideration the actual Internet structure is desirable. To enable better analysis, cooperation among tens of thousands of agents is needed. This paper proposes a cooperative routing management system, called NetManager-M, which enables detailed analysis by using massively deployed agents on the Internet. NetManager-M can diagnose the routing flows around suspicious areas through cooperation among dynamically organized agents. This cooperation, which is conducted based on the current and previous routing topology, enables monitoring of routing update messages at neighboring observation points and the identification of the causes of problems in more detail. This system is thus an effective means of detailed analysis for typical scenarios of inter-AS routing failures.