multi-topic, publish from gh-pages branch

site/data/cloud-edge/papers/NSDI-2025-digest.yaml

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+venue: NSDI
+year: 2025
+date: "2025-04-28"
+tags: [networking, distributed-systems, cloud, programmable-data-planes, network-verification, datacenter, transport, ml-systems, 5g]
+
+selected:
+  - dblp_key: "conf/nsdi/Du0ZLHGWT025"
+    title: "PRED: Performance-oriented Random Early Detection for Consistently Stable Performance in Datacenters"
+    tldr: "PRED redesigns AQM by making drop probability a direct function of per-flow performance targets rather than queue length, eliminating the instability of classic RED in modern datacenter workloads."
+    why_notable: "RED has been a cornerstone of congestion control for decades; PRED's performance-centric reformulation challenges a long-held design axiom and demonstrates significantly lower tail latency at scale. It opens the door to intent-driven AQM as a first-class primitive in datacenter switches."
+
+  - dblp_key: "conf/nsdi/XingGLWQDKL25"
+    title: "Rajomon: Decentralized and Coordinated Overload Control for Latency-Sensitive Microservices"
+    tldr: "Rajomon introduces a token-based, decentralized overload control mechanism that coordinates admission across microservice call graphs without a central bottleneck."
+    why_notable: "Microservice overload propagation is a persistent pain point in production clouds; Rajomon's approach of spreading load-shedding decisions across the call graph while retaining global coherence is a practical and principled contribution. The system is evaluated on realistic cloud benchmarks and shows clear SLO improvement over prior centralized and uncoordinated schemes."
+
+  - dblp_key: "conf/nsdi/LiuXZDLLH0K0M25"
+    title: "Unlocking ECMP Programmability for Precise Traffic Control"
+    tldr: "This work exposes fine-grained ECMP programming interfaces that allow operators to steer individual flows through specific paths in multipath datacenter fabrics with near-zero overhead."
+    why_notable: "ECMP's coarse hashing has been a limiting factor in datacenter traffic engineering for years; this paper shows that commodity switch primitives can be composed to achieve precise per-flow placement, delivering measurable improvements in load balance without topology changes."
+
+  - dblp_key: "conf/nsdi/ChenMLLRYZ25"
+    title: "eTran: Extensible Kernel Transport with eBPF"
+    tldr: "eTran uses eBPF to let applications plug in custom transport logic—including RDMA-like zero-copy paths—directly into the Linux kernel data path without modifying kernel source."
+    why_notable: "The ability to safely extend kernel networking with eBPF has been widely anticipated; eTran demonstrates that full transport protocols (not just classifiers) can be realised this way, achieving performance competitive with kernel-bypass while retaining OS isolation and deployability."
+
+  - dblp_key: "conf/nsdi/ZhaoM0K25"
+    title: "White-Boxing RDMA with Packet-Granular Software Control"
+    tldr: "This paper decomposes RDMA semantics and re-implements them in software at packet granularity, exposing hooks that allow transport policy (retransmission, congestion, multipath) to be modified without hardware changes."
+    why_notable: "RDMA's black-box nature has long frustrated datacenter operators trying to deploy custom congestion control or network telemetry; white-boxing RDMA at packet granularity is a principled answer that simultaneously improves debuggability and extensibility, with demonstrated line-rate performance."
+
+  - dblp_key: "conf/nsdi/LiZZY25"
+    title: "NDD: A Decision Diagram for Network Verification"
+    tldr: "NDD is a new symbolic data structure that compactly represents the forwarding behavior of large networks, enabling network verification queries orders of magnitude faster than BDD-based predecessors."
+    why_notable: "Network verification tools like Batfish and ARC rely on set representations whose size can explode on real networks; NDD's topology-aware decomposition dramatically reduces verification time for common queries (reachability, loop detection) and is likely to be adopted as a backend in production verification pipelines."
+
+  - dblp_key: "conf/nsdi/WuFHLLXZC25"
+    title: "VEP: A Two-stage Verification Toolchain for Full eBPF Programmability"
+    tldr: "VEP combines abstract interpretation with deductive verification to prove safety properties of eBPF programs that the Linux kernel verifier rejects, enabling a much wider class of programs to run safely in the kernel."
+    why_notable: "The Linux eBPF verifier's conservatism blocks many useful programs; VEP's two-stage approach (lightweight in-kernel check plus offline proof) expands the programmability frontier without weakening safety guarantees, directly affecting every operator who writes eBPF for networking or observability."
+
+  - dblp_key: "conf/nsdi/JiVVSA25"
+    title: "MTP: Transport for In-Network Computing"
+    tldr: "MTP is a transport protocol co-designed with programmable switches that allows in-network compute operations (aggregation, filtering) to be expressed as first-class transport primitives with reliability and flow-control guarantees."
+    why_notable: "Existing transports treat the network as a dumb pipe and retrofit in-network compute as an afterthought; MTP shows that rethinking transport abstractions around programmable hardware can yield substantial throughput gains for distributed ML and key-value workloads."
+
+  - dblp_key: "conf/nsdi/XuMG0MZSAN25"
+    title: "State-Compute Replication: Parallelizing High-Speed Stateful Packet Processing"
+    tldr: "This paper introduces a replication model for stateful packet processing that partitions state across multiple pipeline replicas and reconciles updates at line rate, breaking the single-pipeline bottleneck of P4 programs."
+    why_notable: "Stateful P4 programs that require per-flow counters or heavy-hitter detection are bottlenecked by single-instance state; the state-compute replication model is a general technique applicable across telemetry, load balancing, and security use cases, with a prototype running at 100 Gbps."
+
+  - dblp_key: "conf/nsdi/ZhaoPCWFBKK25"
+    title: "Efficient Direct-Connect Topologies for Collective Communications"
+    tldr: "This paper derives a family of direct-connect network topologies mathematically optimized for the all-reduce and all-to-all collectives used in large-scale ML training, achieving better bandwidth and lower diameter than fat-tree alternatives at the same port count."
+    why_notable: "As AI training clusters scale to thousands of GPUs, interconnect topology becomes a first-order performance determinant; the paper's analytical framework for topology synthesis fills a long-standing gap between graph theory and practical cluster networking, and the proposed topologies outperform fat-trees on real collective benchmarks."
+
+  - dblp_key: "conf/nsdi/WangLXL0CZZZZLZ25"
+    title: "SimAI: Unifying Architecture Design and Performance Tuning for Large-Scale Large Language Model Training with Scalability and Precision"
+    tldr: "SimAI is a high-fidelity simulator that jointly models compute, network, and storage interactions in LLM training clusters, enabling architects to evaluate topology and parallelism strategy choices without running full cluster experiments."
+    why_notable: "Designing training infrastructure for frontier LLMs is prohibitively expensive to explore empirically; SimAI's validated accuracy against production Alibaba clusters makes it a practical tool for the community and provides rare quantitative insight into how network architecture choices affect end-to-end training throughput."
+
+  - dblp_key: "conf/nsdi/DengSJZZ0LSZLLW25"
+    title: "Minder: Faulty Machine Detection for Large-scale Distributed Model Training"
+    tldr: "Minder continuously monitors collective-communication timing patterns during LLM training to pinpoint faulty nodes—including subtle slow or flapping hardware—without requiring dedicated diagnostic jobs."
+    why_notable: "GPU cluster faults that cause training slowdowns rather than outright crashes are notoriously hard to attribute; Minder's passive monitoring approach catches a wide class of hardware anomalies (including network stragglers) with sub-minute detection latency, and its deployment at scale in Alibaba's training infrastructure gives the results strong operational credibility."
+
+  - dblp_key: "conf/nsdi/HoganWQABSB25"
+    title: "Efficient Multi-WAN Transport for 5G with OTTER"
+    tldr: "OTTER is a multi-path transport system for 5G user-plane traffic that dynamically bonds heterogeneous WAN links (e.g., terrestrial + satellite) while hiding link asymmetry and jitter from applications."
+    why_notable: "5G deployments increasingly rely on diverse backhaul paths with wildly different characteristics; OTTER's scheduler, validated on a Microsoft production 5G deployment, demonstrates that significant throughput and reliability gains are achievable through principled multi-WAN design, informing both operator practice and future transport standards."