发表状态 | 已发表Published |
题名 | OffsetINT: Achieving High Accuracy and Low Bandwidth for In-Band Network Telemetry |
作者 | |
发表日期 | 2024-05-01 |
发表期刊 | IEEE Transactions on Services Computing
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ISSN/eISSN | 1939-1374 |
卷号 | 17期号:3页码:1072-1083 |
摘要 | Network measurement is essential for efficient network management and operations. In-band network telemetry (INT) offers fine-grained per-device per-packet information which could provide full-visibility for networks. However, the existing solutions fall short in achieving high accuracy, generality, and low overhead simultaneously. To address this limitation, we introduce OffsetINT to meet these three criteria. The key idea of OffsetINT is to use minimal bits to carry collected states during monitoring, which is based on our observation that the value of telemetry states are usually very close (e.g., the time of adjacent arrival packets) or small (e.g., only a few tens of microseconds for processing latency) for most of the time in real networks. Instead of embedding complete values of state in packets, OffsetINT optimizes bit usage by encoding an offset (using fewer bits), which is carried in-band by passing packets to the end-hosts for recovery and analysis. We theoretically derive the bounds of bandwidth mitigation for OffsetINT. We have implemented OffsetINT in both P4 hardware switches (with Intel Tofino ASIC) and BMv2. Expensive evaluation results show that OffsetINT can achieve an accuracy of up to 100% compared to the original INT while reducing INT bandwidth by up to 48%. |
关键词 | In-band network telemetry network measurement programmable data plane |
DOI | 10.1109/TSC.2023.3323697 |
URL | 查看来源 |
收录类别 | SCIE |
语种 | 英语English |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Information Systems ; Computer Science, Software Engineering |
WOS记录号 | WOS:001248286200010 |
Scopus入藏号 | 2-s2.0-85176326066 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/11786 |
专题 | 理工科技学院 |
通讯作者 | Cui, Lin |
作者单位 | 1.Jinan University, Department of Computer Science, Guangzhou, 510632, China 2.Loughborough University, Department of Computer Science, Loughborough, LE11 3TU, United Kingdom 3.Beijing Normal University (BNU Zhuhai), BNU-UIC Institute of Artificial Intelligence and Future Networks, Zhuhai, 519088, China 4.BNU-HKBU United International College, Zhuhai, 519088, China |
推荐引用方式 GB/T 7714 | Qian, Mimi,Cui, Lin,Tso, Fung Poet al. OffsetINT: Achieving High Accuracy and Low Bandwidth for In-Band Network Telemetry[J]. IEEE Transactions on Services Computing, 2024, 17(3): 1072-1083. |
APA | Qian, Mimi, Cui, Lin, Tso, Fung Po, Deng, Yuhui, & Jia, Weijia. (2024). OffsetINT: Achieving High Accuracy and Low Bandwidth for In-Band Network Telemetry. IEEE Transactions on Services Computing, 17(3), 1072-1083. |
MLA | Qian, Mimi,et al."OffsetINT: Achieving High Accuracy and Low Bandwidth for In-Band Network Telemetry". IEEE Transactions on Services Computing 17.3(2024): 1072-1083. |
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