Content-based retrieval of music in scalable peer-to-peer networks

A large portion of data exchanged in today´s peer-to-peer (P2P) networks consists of music stored as MP3 compressed audio. Existing P2P systems typically are not scalable and only support primitive methods for the searching of music files, e.g., by looking up exact filenames or using simple metadata information such as artist or album name. In this paper, we present the design and evaluation of a scalable P2P system that uses rendezvous points (RPs) for music file registration and query resolution, and supports content-based music information retrieval (MIR) of audio signals.