Aimed at the load imbalance caused by access hotspots in structured P2P network, this paper proposes a file access request prediction model and duplication replication strategy of hotspot files.Experiment contrasts the load balancing effects, which is obtained by file access prediction and duplication replication of ARMA, BP and single-exponent smoothness models.Results show that the three models can reduce about 1/3 of the response time of files, and improve 10% of the success rate of transaction.In addition, ARMA model is the best of the three prediction models.
DU Chao, XU Lei
. Access hotspot prediction and load balancing mechanism based on structured P2P network[J]. Journal of Shenyang Aerospace University, 2013
, 30(6)
: 38
-43
.
DOI: 10.3969/j.issn.2095-1248.2013.06.009
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