IEEE/ACM International Symposium on Quality of Service (IWQoS) 2022
WiFi Sensing
EAScatter: Excitor-Aware Bluetooth Backscatter
Zhanxiang Huang and Wei Gong (University of Science and Technology of China, China)
We built a prototype of EAScatter and evaluated it with extensive experiments. EAScatter can achieve up to 98% device excitor identification accuracy. Using TI CC1352 as an excitor, it has a 25x PRR gain and a 28x goodput gain over the state-of-the-art RBLE.
SpiroFi: Contactless Pulmonary Function Monitoring using WiFi Signal
Yu Gu, Meng Wang, Peng Zhao and Yantong Wang (Hefei University of Technology, China); Hao Zhou (University of Science and Technology of China, China); Yusheng Ji (National Institute of Informatics, Japan); Celimuge Wu (The University of Electro-Communications, Japan)
Blind-area Elimination in Video Surveillance Systems by WiFi Sensing with Minimum QoS Loss
Linqing Gui, Wenyang Yuan and Fu Xiao (Nanjing University of Posts and Telecommunications, China)
WiVi: WiFi-Video Cross-Modal Fusion based Multi-Path Gait Recognition System
Jinmeng Fan, Hao Zhou and Fengyu Zhou (University of Science and Technology of China, China); Xiaoyan Wang (Ibaraki University, Japan); Zhi Liu (The University of Electro-Communications, Japan); Xiang-Yang Li (University of Science and Technology of China, China)
Session Chair
Zhi Liu, The University of Electro-Communications
Scheduling
TASP: Enabling Time-triggered Task Scheduling in TSN-based Mixed-criticality system
Xuyan Jiang (National University of Defense Technology, China); Yiming Zhang (NUDT & NiceX Lab, China); Wenwen Fu, Xiangrui Yang and Yinhan Sun (National University of Defense Technology, China); Zhigang Sun (National Unversity of Defense Technology, China)
In this paper we propose TAsk Scheduling Puppeteer (TASP), a mechanism that schedules DMCS tasks based on TSN without modifying the Linux OS. The key idea of TASP is to manipulate task scheduling by controlling the timing of CL packet submissions at the interface between TSN and ES. Specifically, TASP refines time-triggered task scheduling with two parameters, namely, Fore Guardband (ForeGB) and Back Guardband (BackGB). During the ForeGB period before a CL packet's submission, TASP forbids any packets' submission; while during the BackGB period after a CL packet's submission, TASP forbids any other CL packets' submission. ForeGB and BackGB can ensure that there is at most one schedulable task on the ES at any time and thus Linux has no choice but to schedule the only task, making the Linux scheduler a puppet. We have deployed TASP and evaluated it in real-world TSN switches based on an open-source TSN project. The TASP-enabled ES can realize task scheduling precisely based on the TSN global time, which outperforms the original ES by reducing end-to-end jitter from milliseconds to microseconds.
BUDA: Budget and Deadline Aware Scheduling Algorithm for Task Graphs in Heterogeneous Systems
Hamza Djigal, Linfeng Liu, Jian Luo and Jia Xu (Nanjing University of Posts and Telecommunications, China)
Rethinking the use of network cycle in Time-Sensitive Networking (TSN) flow scheduling
Jiashuo Lin (Southern University of Science and Technology, China); Weichao Li (Peng Cheng Laboratory, China); Xingbo Feng (City University of Hong Kong, China); Shuangping Zhan, Jingbin Feng and Jian Cheng (Peng Cheng Laboratory, China); Tao Wang (Guangdong University of Technology, China); Qing Li (Peng Cheng Laboratory, China); Yi Wang (Southern University of Science and Technology, China); Fuliang Li (Northeastern University, China); Bo Tang (Southern University of Science and Technology, China)
In this paper, we mathematically evaluate the performance of several flow scheduling algorithms in terms of flow schedulability with and without employing network cycle. We observe that only when the network cycle is set to a proper value can the performance of flow scheduling be significantly improved. To better evaluate the scheduling effect, a novel assessment metric and a goal-based optimization algorithm are introduced. Our experiment results show that the network cycle-based algorithm can achieve a considerable improvement (40\% - 170\% improvement in the number of scheduled flows) compared to the ones with network cycle disabled.
Online Traffic Allocation Based on Percentile Charging for Practical CDNs
Huan Chen, Huiyou Zhan and Haisheng Tan (University of Science and Technology of China, China); Huang Xu and Weihua Shan (Huawei Technologies Co., Ltd., China); Shiteng Chen (Chinese Academy of Sciences, China); Xiang-Yang Li (University of Science and Technology of China, China)
Session Chair
Jianping Wang, City University of Hong Kong
DCNs
NQ/ATP: Architectural Support for Massive Aggregate Queries in Data Center Networks
Yixi Chen (Tsinghua University, China); Wenfei Wu (Peking University, China); Ying Zhang (Facebook, USA); Shan-Hsiang Shen (National Taiwan University of Science and Technology, Taiwan)
BubbleTCAM: Bubble Reservation in SDN Switches for Fast TCAM Update
Cong Luo and Chuhao Chen (Fudan University, China); Hao Mei (FuDan University, China); Ruyi Yao (Fudan University, China); Ying Wan (Tsinghua University, China); Wenjun Li (Harvard University, USA); Sen Liu (Fudan University, China); Bin Liu (Tsinghua University, China); Yang Xu (Fudan University, China)
UFLB: A Unified Framework for Modeling and Analyzing Load Balancing Methods in DCNs
Yawen Chen (Tianjin University, China); Deke Guo (National University of Defense Technology, China); Bangbang Ren (National University of Defence Technology, China); Junjie Xie and Lailong Luo (National University of Defense Technology, China)
Flexible and Efficient Multicast Transfers in Inter-Datacenter Networks
Long Luo, Linjian Yu, Tie Ma and Hongfang Yu (University of Electronic Science and Technology of China, China)
Session Chair
Fangming Liu, Huazhong University of Science and Technology
Monitoring & Classification
DUET: Joint Deployment of Trucks and Drones for Object Monitoring
Lihao Wang (Nanjing University, China); Weijun Wang (Nanjing University & University of Goettingen, China); Haipeng Dai (Nanjing University & State Key Laboratory for Novel Software Technology, China); Jiaqi Zheng (Nanjing University, China); Bangbang Ren (National University of Defence Technology, China); Shuyu Shi (University of Nanjing, China); Rong Gu (Nanjing University, China)
Scorpius: Proactive Code Preparation to Accelerate Function Startup
Heng Yu, Junxian Shen, Han Zhang, Jilong Wang, Congcong Miao and Mingwei Xu (Tsinghua University, China)
FROD: An Efficient Framework for Optimizing Decision Trees in Packet Classification
Longlong Zhu and Jiashuo Yu (Fuzhou University, China); Jiayi Cai (FuZhou University, China); Jinfeng Pan and ZhiGao Li (Fuzhou University, China); Zhengyan Zhou (Zhejiang University, China); Dong Zhang (Fuzhou University, China); Chunming Wu (Zhejiang University, China)
PextCuts: A High-performance Packet Classification Algorithm with Pext CPU Instruction
Chunyang Zhang (Institute of Computing Technology, Chinese Academy of Sciences, China); Gaogang Xie (CNIC Chinese Academy of Sciences & University of Chinese Academy of Sciences, China); Peng He (ByteDance, China)
Session Chair
Haipeng Dai, Nanjing University
Monitoring & Identification
Progressive Construction of k-identifiable Networks
Yongshuo Wan (Hong Kong); Cuiying Feng (City University of Hong Kong, Hong Kong); Kui Wu (University of Victoria, Canada); Jianping Wang (City University of Hong Kong, Hong Kong)
Order-preserved Tensor Completion For Accurate Network-wide Monitoring
Xiaocan Li (Hunan University, China); Kun Xie (Hunan University, China); Xin Wang (Stony Brook University, USA); Gaogang Xie (Institute of Computing Technology, Chinese Academy of Sciences, China); Kenli Li and Dafang Zhang (Hunan University, China); Jigang Wen (Chinese Academy of Science & Institute of Computing Technology, China)
Accurately Identify Time-decaying Heavy Hitters by Decay-aware Cuckoo Filter along Kicking Path
Qingjun Xiao (SouthEast University of China, China); Haotian Wang and Guannan Pan (Southeast University, China)
Improving disk failure detection accuracy via data augmentation
Wang Wang (University of Chinese Academy of Science, China); Xuehai Tang, Biyu Zhou and Wenjie Xiao (Institute of Information Engineering, Chinese Academy of Sciences, China); Jizhong Han (IIE, CAS, China); Songlin Hu (IIE, China)
into multiple univariate time series via decomposing the spatial relations among features. Then it learns the temporal correlation of each feature via a policy-based reinforcement learning model trained in an adversarial way. After that, it generates failure samples by combining feature series sampled from learned distribution. Finally, it filters out low quality generated samples with a confidence-based method. Experimental results on real-world datasets show that, through data augmentation, MSGMD can improve the FDR and F1-Score of the state-of-the-art disk failure detection model by 31.59% and 30.74% respectively on average.
Session Chair
Kun Wang, UCLA
Routing
QoS Routing Using Dominant-Distance Vectors
Jj Garcia-Luna-Aceves (University of California at Santa Cruz, USA); Brad Smith (University of California, Santa Cruz, USA); Judith Samson (University of California Santa Cruz, USA)
The Differentiated Reliable Routing Mechanism for 5GB5G
Yaoguang Lu, Xingwei Wang, Bo Yi and Min Huang (Northeastern University, China)
Online Entanglement Routing in Quantum Networks
Lan Yang, Yangming Zhao and Hongli Xu (University of Science and Technology of China, China); Chunming Qiao (University at Buffalo, USA)
Break the Blackbox! Desensitize Intra-domain Information for Inter-domain Routing
Peizhuang Cong, Yuchao Zhang, Lei Wang, Hao Ni and Wendong Wang (Beijing University of Posts and Telecommunications, China); Gong Xiangyang (Beijing University of Posts and Telecommunications P.R. China, China); Tong Yang (Peking University, China); Dan Li and Ke Xu (Tsinghua University, China)
Session Chair
Qi Li, Tsinghua University
Networking Protocol
ACCeSS: Adaptive QoS-aware Congestion Control for Multipath TCP
Xiaolan Ji and Biao Han (National University of Defense Technology, China); Ruidong Li (Kanazawa University, Japan); Cao Xu and Yahui Li (National University of Defense Technology, China); Jinshu Su (National University of Defence Technology, China)
Demystifying and Mitigating TCP Capping
Qingkai Meng and Fengyuan Ren (Tsinghua University, China); Tong Zhang (Nanjing University of Aeronautics and Astronautics, China); Danfeng Shan (Xi'an Jiaotong University, China); Yajun Yang (Tencent Technology Shenzhen Company, China)
Consistent and Fine-Grained Rule Update with In-Network Control for Distributed Rate Limiting
Yongchao He (Tsinghua University, China); Wenfei Wu (Peking University, China)
HPUCache: Toward High Performance and Resource Utilization in Clustered Cache via Data Copying and Instance Merging
Wang Qianli (University of Science and Technology of China (USTC), China); Si Wu, Yongkun Li and Yinlong Xu (University of Science and Technology of China, China); Fei Chen, Pengcheng Wang and Lei Han (Huawei Technologies, China)
Session Chair
Dan Wang, The Hong Kong Polytechnic University, China
Closing Session
Session Chair
Yan Zhang, University of Oslo, Norway
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