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site/content/digests/NSDI-2024/index.md

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+---
+title: NSDI 2024 Digest
+venue: NSDI
+year: 2024
+date: '2024-01-01'
+tags: []
+paper_count: 13
+draft: false
+---
+
+13 papers selected.
+
+---
+
+### MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs
+
+*Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang *et al.**
+
+**TL;DR** — ByteDance's full production account of training LLMs at 10,000+ GPUs, with novel co-design of the network stack, fault tolerance, and collective communication to sustain near-linear scaling.
+
+---
+
+### Harmony: A Congestion-free Datacenter Architecture
+
+*Saksham Agarwal, Qizhe Cai, Rachit Agarwal 0001, David B. Shmoys *et al.**
+
+**TL;DR** — Proposes rethinking datacenter fabrics to eliminate congestion by construction rather than managing it reactively, achieving line-rate throughput without per-packet feedback from Cornell and Google.
+
+---
+
+### DINT: Fast In-Kernel Distributed Transactions with eBPF
+
+*Yang Zhou 0008, Xingyu Xiang, Matthew Kiley, Sowmya Dharanipragada *et al.**
+
+**TL;DR** — Demonstrates that eBPF programs executing entirely inside the kernel can enforce linearizable, ACID-compliant distributed transactions at dramatically lower latency than user-space approaches.
+
+---
+
+### Making Kernel Bypass Practical for the Cloud with Junction
+
+*Joshua Fried, Gohar Irfan Chaudhry, Enrique Saurez, Esha Choukse *et al.**
+
+**TL;DR** — Junction (MIT + Microsoft) is the first system to bring full kernel-bypass networking to multi-tenant cloud VMs without requiring application modifications or sacrificing isolation.
+
+---
+
+### SIEVE is Simpler than LRU: an Efficient Turn-Key Eviction Algorithm for Web Caches
+
+*Yazhuo Zhang, Juncheng Yang, Yao Yue, Ymir Vigfusson *et al.**
+
+**TL;DR** — Surprising finding that a single-queue eviction policy requiring almost no state changes outperforms LRU and all modern approximations on production web-cache workloads.
+
+---
+
+### A large-scale deployment of DCTCP
+
+*Abhishek Dhamija, Balasubramanian Madhavan, Hechao Li, Jie Meng *et al.**
+
+**TL;DR** — A rare, candid production report from Meta on deploying DCTCP at hyperscale, surfacing unexpected interactions with heterogeneous hardware, cross-traffic, and operational constraints.
+
+---
+
+### Brain-on-Switch: Towards Advanced Intelligent Network Data Plane via NN-Driven Traffic Analysis at Line-Speed
+
+*Jinzhu Yan, Haotian Xu, Zhuotao Liu, Qi Li 0002 *et al.**
+
+**TL;DR** — Executes neural-network inference for traffic classification directly in the programmable switch data plane at line rate, eliminating the round-trip to a CPU-based classifier.
+
+---
+
+### Horus: Granular In-Network Task Scheduler for Cloud Datacenters
+
+*Parham Yassini, Khaled Diab 0001, Saeed Mahloujifar, Mohamed Hefeeda*
+
+**TL;DR** — Offloads microsecond-granularity task scheduling decisions into programmable switches, reducing load-balancing latency by orders of magnitude compared to software schedulers.
+
+---
+
+### CAPA: An Architecture For Operating Cluster Networks With High Availability
+
+*Bingzhe Liu, Colin Scott, Mukarram Tariq, Andrew D. Ferguson *et al.**
+
+**TL;DR** — Google's production architecture for maintaining five-nines availability in Jupiter-scale cluster networks, detailing how control-plane redundancy and fast failover are achieved in practice.
+
+---
+
+### Revisiting Congestion Control for Lossless Ethernet
+
+*Yiran Zhang, Qingkai Meng 0001, Chaolei Hu, Fengyuan Ren*
+
+**TL;DR** — Identifies fundamental flaws in PFC-based lossless Ethernet that cause cascading head-of-line blocking and proposes a redesigned congestion control that avoids them.
+
+---
+
+### Sirius: Composing Network Function Chains into P4-Capable Edge Gateways
+
+*Jiaqi Gao, Jiamin Cao, Yifan Li, Mengqi Liu 0001 *et al.**
+
+**TL;DR** — Alibaba's production system for composing arbitrary NF chains into P4-programmed edge gateways, replacing a fleet of dedicated middleboxes and cutting per-packet processing cost significantly.
+
+---
+
+### CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters
+
+*Sudarsanan Rajasekaran, Manya Ghobadi, Aditya Akella*
+
+**TL;DR** — Shows that ignoring network topology when scheduling ML training jobs causes severe collective-communication contention, and that topology-aware co-scheduling yields substantial throughput gains.
+
+---
+
+### Cloudcast: High-Throughput, Cost-Aware Overlay Multicast in the Cloud
+
+*Sarah Wooders, Shu Liu, Paras Jain 0001, Xiangxi Mo *et al.**
+
+**TL;DR** — Berkeley/Penn system that builds overlay multicast trees across cloud regions optimized for egress cost, enabling high-throughput data dissemination at a fraction of unicast cloud egress fees.
+