The peer-to-peer paradigm shows the potential to harness the power of edge devices and to provide freedom from providers, that control servers and on-premise infrastructure.
In order to control the quality of peer-to-peer systems, monitoring and management mechanisms need to be applied in order to provide reliable and secure services on top of unreliable, autonomous and unsecure nodes.
In this paper we present a monitoring and management framework for structured peer-to-peer systems, termed SkEyeNet, that enables the system to monitor its behaviour and to adapt to the current status of demand.
It captures the live status of a peer-to-peer network in an exhaustive statistical representation.
Using principles of autonomic computing, a preset system state is approached through automated system re-configuration in the case that a quality deviation is detected.
Evaluation shows that the monitoring is precise and lightweight and that preset quality goals are reached and kept automatically.

p2p,Peer-to-peer Communication,autonomic,monitoring