ASAP: An Advertisement-based Search Algorithm for Unstructured Peer-to-peer Systems

— Most of existing search algorithms for unstructured peer-to-peer (P2P) systems share one common approach: the requesting node sends out a query and the query message is repeatedly routed and forwarded to other peers in the overlay network. Due to multiple hops involved in query forwarding, the search may result in a long delay before it is answered. Furthermore, some incapable nodes may be easily overloaded when the query traffic becomes intensive or bursty. In this paper, we present a novel content-pushing, Advertisement-based Search Algorithm for unstructured P2P systems called ASAP. An advertisement (ad in brief) is a synopsis of contents a peer tends to share, and appropriately distributed and selectively cached by other peers in the system. In ASAP, nodes proactively advertise their contents by delivering ads, and selectively store interesting ads received from other peers. Upon a request, a node can locate the destination nodes by looking up its local ads repository, and thu...

• Type: Conference
• Year: 2007
• Where: ICPP
• Authors: Peng Gu, Jun Wang, Hailong Cai
• Keywords: Advertisement-based Search Algorithm, Distributed And Parallel Computing, ICPP 2007, Search Algorithms, Unstructured P2p Systems