本研究室「HuangLab @ SYSU」關(guān)于“智能邊緣計(jì)算 (Intelligent Edge Computing)”的兩篇研究論文分別被 IEEE Communications Magazine（影響因子10.356，中科院一區(qū)） 與 IEEE Internet of Things Journal （影響因子9.5，中科院一區(qū)） 接收。兩篇論文，本人均為通訊作者。

   論文的題目分別是：

1. "Real-Time Fault-Detection for IIoT Facilities using GBRBM-based DNN"  (下載鏈接)

2. "Machine Fault Detection for Intelligent Self-Driving Networks" (下載鏈接)

   在這兩篇論文里，我們旨在為邊緣計(jì)算構(gòu)建一種稱為“自驅(qū)動(dòng)網(wǎng)絡(luò)（Self-Driving Networks, SelfDN）”的機(jī)制。該機(jī)制主要應(yīng)用智能算法來(lái)減輕人類管理員對(duì)網(wǎng)絡(luò)的干預(yù)，讓邊緣計(jì)算網(wǎng)絡(luò)可以實(shí)現(xiàn)“自發(fā)現(xiàn)、自決策、自配置 與 自恢復(fù)”的閉環(huán)網(wǎng)絡(luò)優(yōu)化?？梢?jiàn)，智能算法在“自驅(qū)動(dòng)網(wǎng)絡(luò)”架構(gòu)里起著感知發(fā)現(xiàn)、推理、決策等重要作用。

   目前我們暫且只對(duì)“發(fā)現(xiàn)”這一環(huán)節(jié)做出了初步探索，并以工業(yè)物聯(lián)網(wǎng)（IIoT）為邊緣計(jì)算的應(yīng)用場(chǎng)景來(lái)展示機(jī)器故障的“探測(cè)發(fā)現(xiàn)”過(guò)程。其他環(huán)節(jié)里的更多科學(xué)問(wèn)題，還有待后續(xù)的更多研究者來(lái)參與進(jìn)來(lái)并提出解決方案。

    兩篇論文使用的用于預(yù)測(cè)數(shù)據(jù)中心服務(wù)器故障的數(shù)據(jù)集，以及數(shù)據(jù)處理代碼，請(qǐng)從研究室 HuangLab 的【Datasets】頁(yè)面下載：http://xintelligence.pro/datasets

黃華威

中山大學(xué)，軟件工程學(xué)院

[English Version]

Dear Colleagues,

Glad to see that our paper entitled "Real-Time Fault-Detection for IIoT Facilities using GBRBM-based DNN"  (URL) has been online published by hashtagIEEE Internet of Things Journal (SCI hashtagIF=9.5). This work is a showcase of continuous intelligence ‍‍in "Self-Driving" Networks.hashtag

  Another paper entitled "Machine Fault Detection for Intelligent Self-Driving Networks" (URL) has been accepted by IEEE Communications Magazine (SCI IF= 10.356). We expect that this article can inspire booming studies of Self-Driving Networks (SelfDN).

  By the way, SelfDN is an emerging networking paradigm that advocates the self-discovery, self-analysis, self-configuration, and self-correction in the target networks without human intervention.

  Please refer to more details from my project log -> [URL]

   Please feel free to download the datasets and the processing codes from the [Datasets] page of X-Intelligence Lab: http://xintelligence.pro/datasets  

Thank you for your attention!

Best regards,

Huawei Huang,

Associate Professor,

SSE, Sun Yat-sen University, China