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- demonstrationOctober 2022
TCP-INT: lightweight network telemetry with TCP transport
SIGCOMM '22: Proceedings of the SIGCOMM '22 Poster and Demo SessionsPages 58–60https://doi.org/10.1145/3546037.3546064In-band Network Telemetry (INT) provides visibility into the state of the network and can be used for monitoring and debugging. However, existing implementations do not make telemetry available to end-hosts. In this demonstration we present TCP-INT, ...
- posterOctober 2022
P4Pir: in-network analysis for smart IoT gateways
SIGCOMM '22: Proceedings of the SIGCOMM '22 Poster and Demo SessionsPages 46–48https://doi.org/10.1145/3546037.3546060IoT gateways are vital to the scalability and security of IoT networks. As more devices connect to the network, traditional hard-coded gateways fail to flexibly process diverse IoT traffic from highly dynamic devices. This calls for a more advanced ...
- posterOctober 2022
Accelerating kubernetes with in-network caching
SIGCOMM '22: Proceedings of the SIGCOMM '22 Poster and Demo SessionsPages 40–42https://doi.org/10.1145/3546037.3546058We present a new Kubernetes architecture that leverages in-network caching to accelerate one of Kubernetes' core components, its key-value store. We also identify performance limitations of previous in-network caching platforms and propose a new platform ...
- posterOctober 2022
Linnet: limit order books within switches
SIGCOMM '22: Proceedings of the SIGCOMM '22 Poster and Demo SessionsPages 37–39https://doi.org/10.1145/3546037.3546057Financial trading often relies nowadays on machine learning. However, many trading applications require very short response times, which cannot always be supported by traditional machine learning frameworks. We present Linnet, providing financial market ...
- posterOctober 2022
Mind the cost of telemetry data analysis
SIGCOMM '22: Proceedings of the SIGCOMM '22 Poster and Demo SessionsPages 22–24https://doi.org/10.1145/3546037.3546052Data Stream Processing engines are emerging as a promising solution to efficiently process a continuous amount of telemetry information. In this poster, we compare four of them: Storm, Flink, Spark and WindFlow. The aim is to shed some lights on the best ...
- posterOctober 2022
Network-accelerated cluster scheduler
SIGCOMM '22: Proceedings of the SIGCOMM '22 Poster and Demo SessionsPages 16–18https://doi.org/10.1145/3546037.3546050Efficient use of computing clusters is crucial in large-scale data centers: even small gains in utilization can save millions of dollars. However, as the number of microsecond-scale tasks increases, using a CPU to schedule tasks becomes inefficient. ...