Improving content retrieval recall in KAD

KAD is the largest DHT system with several million simultaneous users. The dynamic of peer participation which is called peer churn affects the performance of content retrieval in KAD. In this paper, we performed a simple way to improve content retrieval recall in KAD, by taking highly available contacts as lookup entries. We track highly available peers in KAD by the ID appearance ranks in routing tables from an running crawler designed by ourselves. The measurement study, compared with the normal content retrieval process, shows that the improved way is much effective.