EvoTrace:A Lightweight In-band Network Telemetry Method Based on Nonlinear Embedding and Batch Processing

In-band network telemetry(INT) enables packets to carry network state information,achieving high monitoring accuracy and precision.However,this advancement comes at the cost of increased data plane overhead.The embedding of telemetry information results in excessive network overhead within the data plane.Meanwhile,existing telemetry methods usually measure large number of packets from large flows,fails in measuring packets from small and medium flows.To address these issues,this paper proposes a lightweight INT method－EvoTrace.EvoTrace introduces a nonlinear packet telemetry method that monitors packets from different flows according to the attributes of network flows.Additionally,EvoTrace also employs a metadata batching method to aggregate the telemetry metadata,for reducing network bandwidth occupancy and the number of telemetry packets.EvoTrace is implemented on OpenvSwitch(OVS) and tested,experimental results demonstrate that,compared with the existing methods,EvoTrace achieves larger network flow monitoring coverage while saves more than 40% of INT bandwidth occupancy.