An efficient and distributed file search in unstructured peer-to-peer networks

作者：Shojafar Mohammad^*; Abawajy Jemal H; Delkhah Zia; Ahmadi Ali; Pooranian Zahra; Abraham Ajith

来源：Peer-to-Peer Networking and Applications, 2015, 8(1): 120-136.

DOI：10.1007/s12083-013-0236-0

• Unstructured peer-to-peer
• Adaptive probabilistic search
• Ant colony
• Success rate
• Information retrieval

Peer-to-peer (P2P) networks are gaining increased attention from both the scientific community and the larger Internet user community. Data retrieval algorithms lie at the center of P2P networks, and this paper addresses the problem of efficiently searching for files in unstructured P2P systems. We propose an Improved Adaptive Probabilistic Search (IAPS) algorithm that is fully distributed and bandwidth efficient. IAPS uses ant-colony optimization and takes file types into consideration in order to search for file container nodes with a high probability of success. We have performed extensive simulations to study the performance of IAPS, and we compare it with the Random Walk and Adaptive Probabilistic Search algorithms. Our experimental results show that IAPS achieves high success rates, high response rates, and significant message reduction.

• 出版日期2015-1
• 单位迪肯大学