Trustworthiness prediction of cloud services based on selective neural network ensemble learning

作者：

Highlights：

• A new trustworthiness prediction framework for cloud services is proposed.

• An ensemble prediction model is built, combining a subset of potential ANNs.

• Two ANN subset selection algorithms, based on two swarm intelligence algorithms, are presented.

• Extensive experiments conducted to verify the effectiveness of the proposed algorithms are reported on.

摘要

•A new trustworthiness prediction framework for cloud services is proposed.•An ensemble prediction model is built, combining a subset of potential ANNs.•Two ANN subset selection algorithms, based on two swarm intelligence algorithms, are presented.•Extensive experiments conducted to verify the effectiveness of the proposed algorithms are reported on.

论文关键词：Cloud services,Trustworthiness prediction,Selective ensemble learning,Neural networks,Particle swarm optimization (PSO)

论文评审过程：Received 5 July 2020, Revised 20 October 2020, Accepted 25 November 2020, Available online 28 November 2020, Version of Record 5 December 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114390