ADiT is an adaptive approach for processing distributed top-k queries over peer-to-peer networks optimizing both system load and query response time. It considers the size of the peer to peer network, the amount k of searched objects, and for each peer: the bandwidth, the amount of objects stored, and the speed of in processing a local top-k query. In extensive experiments with a variety of scenarios we could show that ADiT outperforms state-of-the-art distributed query processing techniques.