Title :
Ecologically Inspired Distributed Search in Unstructured Peer-to-Peer Networks
Author :
Sa, Li ; Ding, Yongsheng
Author_Institution :
Donghua Univ., Shanghai
Abstract :
Nowadays, the most popular peer-to-peer applications operate on unstructured networks. This paper describes our research effort to design and implement an agent based search algorithm that allows for searching in unstructured decentralized network. In this algorithm, we models autonomous adaptive agents after several ecological concepts and mechanisms. We focus on the problem of actively changing the topology of the P2P network by utilizing Schelling´s segregation model to improve the efficiency of search.
Keywords :
mobile agents; peer-to-peer computing; autonomous adaptive agents; ecologically inspired distributed search; unstructured decentralized network; unstructured networks; unstructured peer-to-peer networks; Algorithm design and analysis; Application software; Biological system modeling; Computer networks; Concurrent computing; Distributed computing; Educational institutions; Network topology; Parallel processing; Peer to peer computing;
Conference_Titel :
Network and Parallel Computing Workshops, 2007. NPC Workshops. IFIP International Conference on
Conference_Location :
Liaoning
Print_ISBN :
978-0-7695-2943-1
DOI :
10.1109/NPC.2007.123
