我們于2019年3月在中科院一區(qū)雜志 IEEE Communications Magazine 發(fā)表了一篇關(guān)于預(yù)測(cè)機(jī)器故障的論文?，F(xiàn)在公開(kāi)論文里用到的機(jī)器學(xué)習(xí)數(shù)據(jù)集。請(qǐng)前往 HUANG-LAB@SYSU 實(shí)驗(yàn)室主頁(yè)的【數(shù)據(jù)集】頁(yè)面下載該數(shù)據(jù)集與相關(guān)的技術(shù)報(bào)告。

論文信息如下：

Huawei Huang, and Song Guo, “Proactive Failure Recovery for NFV in Distributed Edge Computing”, IEEE Communications Magazine, vol. 57, no. 5, pp. 131-137, March 2019

 This dataset can be used to implement the failure prediction using machine learning methods and AI approaches such as SVM, random forest, or deep learning algorithms. Besides the original dataset, I also provide two reports written by two visiting students when they performed a visiting-study in my lab in July 2019.