本研究室「huanglab @ sysu」关于“智能边缘计算 (intelligent edge computing)”的两篇研究论文分别被 ieee communications magazine（影响因子10.356，中科院一区） 与 ieee internet of things journal （影响因子9.5，中科院一区） 接收。两篇论文，本人均为通讯作者。
论文的题目分别是：
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"real-time fault-detection for iiot facilities using gbrbm-based dnn" ()
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"machine fault detection for intelligent self-driving networks" ()
在这两篇论文里，我们旨在为边缘计算构建一种称为“自驱动网络（self-driving networks, selfdn）”的机制。该机制主要应用智能算法来减轻人类管理员对网络的干预，让边缘计算网络可以实现“自发现、自决策、自配置 与 自恢复”的闭环网络优化。可见，智能算法在“自驱动网络”架构里起着感知发现、推理、决策等重要作用。
目前我们暂且只对“发现”这一环节做出了初步探索，并以工业物联网（iiot）为边缘计算的应用场景来展示机器故障的“探测发现”过程。其他环节里的更多科学问题，还有待后续的更多研究者来参与进来并提出尊龙凯时官方app下载的解决方案。
两篇论文使用的用于预测数据中心服务器故障的数据集，以及数据处理代码，请从研究室 huanglab 的【datasets】页面下载：
黄华威
中山大学，软件工程学院
[english version]
dear colleagues,
glad to see that our paper entitled "real-time fault-detection for iiot facilities using gbrbm-based dnn" () has been online published by ieee internet of things journal (sci if=9.5). this work is a showcase of continuous intelligencein "self-driving" networks.
another paper entitled "machine fault detection for intelligent self-driving networks" () 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 -> []
please feel free to download the datasets and the processing codes from the [datasets] page of x-intelligence lab:
thank you for your attention!
best regards,
huawei huang,
associate professor,
sse, sun yat-sen university, china
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