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作 者:Weizhen Dang Tao Yu Haibo Wang Jing’An Xue Fenghua Li Jilong Wang
机构地区:[1]Institute for Network Sciences and Cyberspace,Tsinghua University,Beijing 100084,China [2]Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China [3]Beijing National Research Center for Information Science and Technology(BNRist),Beijing 100084,China [4]Huawei Technologies,Beijing 100085,China [5]Zhongguancun Laboratory,Beijing 100094,China
出 处:《China Communications》2023年第3期316-335,共20页中国通信(英文版)
基 金:supported by the National Key Research and Development Program of China(No.2020YFE0200500)。
摘 要:WiFi has become one of the most popular ways to access the Internet.However,in large-scale campus wireless networks,it is challenging for network administrators to provide optimized access quality without knowledge on fine-grained traffic characteristics and real network performance.In this paper,we implement PerfMon,a network performance measurement and diagnosis system,which integrates collected multi-source datasets and analysis methods.Based on PerfMon,we first conduct a comprehensive measurement on application-level traffic patterns and behaviors from multiple dimensions in the wireless network of T university(TWLAN),which is one of the largest campus wireless networks.Then we systematically study the application-level network performance.We observe that the application-level traffic behaviors and performance vary greatly across different locations and device types.The performance is far from satisfactory in some cases.To diagnose these problems,we distinguish locations and device types,and further locate the most crucial factors that affect the performance.The results of case studies show that the influential factors can effectively characterize performance changes and explain for performance degradation.
关 键 词:WIFI traffic patterns network manage-ment performance measurement network diagnosis
分 类 号:TN92[电子电信—通信与信息系统]
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