OffsetINT : Achieving High Accuracy and Low Bandwidth for In-Band Network Telemetry
IEEE Transactions on Services Computing(2023)
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%.
更多查看译文
关键词
In-band network telemetry,network measurement,programmable data plane
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要