The document discusses aspects of autonomic computing applied to peer-to-peer (P2P) systems to manage quality of service. It describes using a monitoring mechanism called SkyEye.KOM to gather statistics on P2P systems in a scalable and self-organizing way. Based on the monitoring data, the system can analyze for deviations from preset quality levels, plan adaptations like changing routing table sizes, and execute adaptations to reach and maintain quality goals. Simulations showed the approach enables P2P systems to precisely reach and hold preset quality intervals through self-configuration.