{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Tech Stories Tech Brief By HackerNoon","title":"BGP-Based Congestion Signaling for Leaf-Spine Data Center Fabrics","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/70197c52\"></iframe>","width":"100%","height":180,"duration":1378,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/bgp-based-congestion-signaling-for-leaf-spine-data-center-fabrics.\nA proposal to use BGP as a fabric-wide congestion signaling mechanism, reducing AI workload tail latency and improving ECMP path balance.\nCheck more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.\n            You can also check exclusive content about #bgp, #leaf-spine-networking, #data-center-networking, #ecmp, #ai-infrastructure, #network-engineering, #frrouting, #hackernoon-top-story,  and more.\nThis story was written by: @vijayananda. Learn more about this writer by checking @vijayananda's about page,\n            and for more stories, please visit hackernoon.com.\nThis article proposes BGP-CN, a congestion notification mechanism that uses BGP extended communities to distribute congestion information across leaf-spine data center fabrics. Rather than relying solely on local mechanisms such as ECN, PFC, and DCQCN, BGP-CN provides fabric-wide visibility, allowing switches to proactively adjust ECMP weights before congestion spreads. Prototype testing on a SONiC/FRR environment showed a 47% reduction in P99 tail latency and a 63% improvement in path utilization balance.\n        \n        ","thumbnail_url":"https://img.transistorcdn.com/IuqXIpaNNuezY7jNfIDnL5gqB1iL_SEndwUUzLGdljY/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxNDI5LzE2ODM1/ODM0NjQtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}