計算機網絡和信息集成教育部重點實驗室（bet356手机版唯一官网）
bat365 首頁 實驗室概況 研究隊伍 人才培養 科學研究及主要成果 開放與交流 科研資源共享 運行管理
2015年學術報告 學術報告 開放課題設置 合作項目 舉辦學術會議 --- 2015年學術報告 --- Identifying Symptom-Fault Causality in SDN 時間： 地點：九龍湖計算機樓三樓會議室 報告簡介：   SDN presents a lot of attractive features such as its programmability and flexibility in network function virtualization. As any traditional networks, various faults are inevitable in a SDN network, from software bug, malfunctioned hardware to policy misconfiguration. However, troubleshooting SDN becomes a more challenging task due to its programmability and flexibility. Identifying dynamic symptom-fault causality becomes a critical and nontrivial step towards effective troubleshooting for SDN. In this talk, I will discuss new challenges of fault diagnosis in SDN, and introduce several promising approaches. 報告人簡介：   Yongning Tang, Associate Professor, School of Information Technology Illinois State University His research interests are in fault diagnosis in large-scale distributed networking systems, cloud computing, network security, wireless networks, and traffic classification, as well as various machine learning and AI techniques.     bet356手机版唯一官网計算機網絡和信息集成教育部重點實驗室 版權所有