A scalable algorithm to monitor chord-based P2P systems at runtime

Peer-to-peer (p2p) systems are a highly decentralized, fault tolerant, and cost effective alternative to the classic client-server architecture. Yet companies hesitate to use p2p algorithms to build new applications. Due to the decentralized nature of such a p2p system the carrier does not know anything about the current size, performance, and stability of its application. In this paper we present an entirely distributed and scalable algorithm to monitor a running p2p network. The snapshot of the system enables a telecommunication carrier to gather information about the current performance parameters of the running system as well as to react to discovered errors.