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ICDCSW
2006
IEEE
14 years 23 days ago
Improve Searching by Reinforcement Learning in Unstructured P2Ps
— Existing searching schemes in unstructured P2Ps can be categorized as either blind or informed. The quality of query results in blind schemes is low. Informed schemes use simpl...
Xiuqi Li, Jie Wu
INFOCOM
2009
IEEE
14 years 1 months ago
Budget-Based Self-Optimized Incentive Search in Unstructured P2P Networks
—Distributed object search is the primary function of Peer-to-Peer (P2P) file sharing system to locate and transfer the file. The predominant search schemes in unstructured P2P...
Yi Hu, Min Feng, Laxmi N. Bhuyan, Vana Kalogeraki
SAT
2010
Springer
172views Hardware» more  SAT 2010»
13 years 5 months ago
On the Relative Merits of Simple Local Search Methods for the MAX-SAT Problem
Algorithms based on local search are popular for solving many optimization problems including the maximum satisfiability problem (MAXSAT). With regard to MAXSAT, the state of the ...
Denis Pankratov, Allan Borodin
EUROPAR
2009
Springer
14 years 1 months ago
Uniform Sampling for Directed P2P Networks
Selecting a random peer with uniform probability across a peer-to-peer (P2P) network is a fundamental function for unstructured search, data replication, and monitoring algorithms....
Cyrus P. Hall, Antonio Carzaniga
GLOBECOM
2006
IEEE
14 years 24 days ago
Dynamic Search Algorithm in Unstructured Peer-to-Peer Networks
Flooding and random walk (RW) are the two typical search algorithms in unstructured peer-to-peer networks. The flooding algorithm searches the network aggressively. It covers the m...
Po-Chiang Lin, Tsungnan Lin, Hsinping Wang