Large Data Throughput Optimization Model with Full C order Model Parallel Flow Number Prediction Optical Domain
Abstract: In order to address
the low efficiency of traditional data-intensive extensible computing system in
data source utilization and data transmission, a throughput optimization model
of application layer basedon parallel flow number prediction has been proposed.
Firstly, for the purpose of improving accuracy of parallel flow number
prediction and utilization efficiency of bottleneck link, selection method for
equivalent parallel flow number has been designed; secondly, an full C order
model has been established by using partial C order model and all of second
order model as reference, and a low-sampling throughoutoptimization algorithm
framework has been designed to reduce computational complexity; last,
experimentbased on data set of different sizes shows that prediction model of
full C order model parallel flow number is more applicable to data transmission
and is more efficient.
Author: Hao Yang
Journal Code: jptkomputergg160098
