Autonomic Network Management (ANM) has the goal of

increasing reliability and performance while reducing

management cost using various automated techniques. These

range from agent-based approaches relying on explicit models

and ontologies to emergent techniques relying on gossip

protocols, swarming algorithms or other biologically inspired

work. In this paper, we review the failures, growing pains and

successes of earlier techniques for automated and adaptive

network control and management, from the simple control loops

in TCP and OSPF to the more complicated emergent behaviors of

BGP dynamics and overlay routing. From these examples we

extract several lessons relevant to ongoing research in autonomic

network management.

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In  ACM SIGCOMM Workshop on Internet Network Management (INM)

Publisher  Association for Computing Machinery, Inc.
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