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PEER PARTITIONING TO REDUCE STRATEGY-DRIVEN BIAS IN AUTOMATED PEER-SELECTION SYSTEMS
PEER PARTITIONING TO REDUCE STRATEGY-DRIVEN BIAS IN AUTOMATED PEER-SELECTION SYSTEMS
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机译：对等分区以减少自动对等系统中的策略驱动偏差
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摘要
A peer-selection component of a peer-to-peer network detects a selection event in which network users vote to select a certain number of their peers. The system splits the voting community into two partitions and the number of peers to be selected from each partition is divided in proportion to the relative partition sizes. The system moves peers between partitions to maximize the number of interpartition votes, which are votes cast by a peer in one partition for a peer in another partition. Each peer's “indegree” value is defined as the number of the peer's incoming interpartition votes. Peers with indegree values greater than zero tentatively qualify for selection. The partitioning process repeats until every partition can provide at least the number of selected peers allocated to that partition. The final selection is forwarded to the downstream applications that initiated the selection event.
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