Optimized SRv6 Multicasting for Network-Assisted Publish-Subscribe Systems

Hyunseok Chang, Fang Hao, Murali S. Kodialam, T. V. Lakshman, Sarit Mukherjee, Matteo Varvello

Abstract: In the new industrial Internet, a wide variety of industrial applications are expected to rely on high-performance data communication between a multitude of sensors and actuators that are deployed on a large scale. Publish-subscribe-based communication model is well-suited to handle such large-scale data gathering and dissemination among data sources and sinks. To support publish-subscribe-based data delivery, the newly standardized Segmented Routing over IPv6 (SRv6) can provide non-disruptive network programming primitives for building and maintaining network-efficient, shareable data distribution trees within the network. We study optimal algorithms for setting up different types of multicasting in the SRv6-capable network. In particular, we show, both theoretically and experimentally, that splitting multicast streams into multiple sub-streams, as well as using end-to-end application-layer coding without any network participation can provide significant benefits in terms of multicast throughput compared to traditional single stream multicasting.