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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 发表日期：2021     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 HCMonitor: An accurate measurement system for high concurrent network services 期刊论文 CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2021, 页码: 16 作者:  Song, Hui;  Zhang, Wenli;  Liu, Ke;  Shen, Yifan;  Chen, Mingyu 收藏  |  浏览/下载：28/0  |  提交时间：2021/12/01 accurate measurement  full traffic  high concurrency  monitor  server‐  side latency   Improved RTT Fairness of BBR Congestion Control Algorithm Based on Adaptive Congestion Window 期刊论文 ELECTRONICS, 2021, 卷号: 10 作者:  Pan, Wansu;  Tan, Haibo;  Li, Xiru;  Li, Xiaofeng 收藏  |  浏览/下载：24/0  |  提交时间：2021/04/26 TCP congestion control  BBR  RTT fairness  congestion window   PFECC: a precise feedback-based explicit congestion control algorithm in named data networking 期刊论文 TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2021, 卷号: 29, 期号: 2, 页码: 1124-1138 作者:  Li, Hui 收藏  |  浏览/下载：3/0  |  提交时间：2021/10/14 Named data networking  congestion control  multipath forwarding  precise feedback   PFECC: A precise feedback-based explicit congestion control algorithm in named data networking 期刊论文 Turkish Journal of Electrical Engineering and Computer Sciences, 2021, 卷号: 29, 期号: 2, 页码: 1124-1138 作者:  Li, Hui 收藏  |  浏览/下载：2/0  |  提交时间：2021/06/03 Network architecture  Transmission control protocol  Downstream nodes  Explicit congestion controls  Future internet architecture  Intermediate node  Named data networkings  Optimal throughputs  Transmission delays  Window adjustments   Performance Analysis of Cognitive Radio Networks With Burst Dynamics 期刊论文 IEEE ACCESS, 2021, 卷号: 9, 页码: 110627-110638 作者:  Xu, Qianyu;  Li, Suoping;  Tien Van Do;  Jia, Kejun;  Yang, Nana 收藏  |  浏览/下载：17/0  |  提交时间：2021/10/14 Quality of service  Licenses  Sensors  Markov processes  Fading channels  Queueing analysis  Correlation  Cognitive radio networks  burst traffic  network congestion  queuing model  two-dimensional Markov chain  performance evaluation   Deep Reinforcement Learning-based Multi-Channel Access for Industrial Wireless Networks with Dynamic Multi-User Priority 期刊论文 IEEE Transactions on Industrial Informatics, 2021, 页码: 1-11 作者:  Liu XY(刘晓宇);  Xu C(许驰);  Yu HB(于海斌);  Zeng P(曾鹏) 收藏  |  浏览/下载：14/0  |  提交时间：2022/01/27 Deep reinforcement learning  industrial wireless networks  multi-channel access  dynamic priority  quality of service