报告人：美国伊利诺伊州立大学计算机系系主任唐永宁教授
时间：6月13日上午10：00
地点：九龙湖校区计算机楼142会议室
Abstract：Intelligent Fault localization for SDN becomes oneof the most critical but difficult tasks. In this talk, I introduceanapproach called Policy-Aware In-band Network Telemetry(PAINT) to tackle SDN fault localization. In the PAINT system,network operators define and deploy network services using ahigh-level ServiceProvisioning Language (SPL). Then, PAINT canautomatically parse the service policy to infer the causal relationshipbetween service related network components and end-to-end service-level observable symptoms. Based on the causality model, PAINT deploys monitoring instruments for the symptoms.PAINT utilizes a dynamically created Symptom-Fault-Telemetrymodel to incorporate In-band Network Telemetry (INT) actionssystematically into the fault reasoning process to improve theefficiency and accuracy of fault localization for SDN. PAINT hasbeenevaluated in a simulation environment for its accuracy and scalability with very positive results.
报告人简历：Yongning Tang isa professor,the headof network engineering program and thegraduate director in the school ofinformation technology at Illinois State University.His primary research areas arefault diagnosis in modern networkedsystems andartificalintelligence onnetworkoperations.
