Long-context training runs on sequences whose lengths span orders of magnitude, and dynamic context parallelism (DCP) gives each sequence its own CP degree. Existing DCP systems either do not scale or perform poorly on mainstream models, leaving Megatron-Core (Mcore) DCP as the only option at production scale. Mcore DC...
Zi-Hao Fan, Yun-Zhuo Liu, Bo Jiang et al.· 0 citations
LOBIN is a solution that utilizes machine learning within the network for market prediction based on high-frequency market data feeds and achieves over a 10% reduction in latency compared to the NASDAQ order-matching server benchmark and delivers microsecond-level latency.
Xinpeng Hong, Chang-Gang Zheng, Joshua Lilley et al.· 0 citations
The gateway breaks the direct-connect data plane and consolidates legacy API integration, protocol bridging, access control, and session-aware routing, while scaling out elastically at low per-call overhead.
Ming-Xing Li, Enge Song, Yueshang Zuo et al.· Asia-Pacific Workshop on Net...· 0 citations
NetArtifactBench is introduced, which tests whether AI agents can repair inconsistent records derived from public network-system artifacts while preserving claims that remain supported, and argues that artifact integrity should become a first-class design and evaluation requirement for AI agents operating on network sy...
Tianzhu Zhang, Wei-Chen Tao, Chang-Gang Zheng et al.· 0 citations
A cloud-scale gateway system for MCP service is presented, which breaks the direct-connect model on the data plane and offloads legacy service integration, consolidating incompatible MCP variants, access control, tool recommendation, and session-aware routing to the gateway.
A reference architecture is developed that separates proposal generation from governed execution, identifies recurring integration patterns for LLM-enabled operations, and derives a research agenda for higher network autonomy under explicit assurance, safety, and governance constraints.
Tianzhu Zhang, Changgang Zheng, Shanshan Wang et al.· 0 citations
An architecture that decouples complex policy enforcement from high-speed packet forwarding to support VPC semantics on back-end NICs and enable front-end/back-end integration is proposed, suggesting that commodity hardware can support both high-throughput AI training and flexible VPC features.
Yinhe Wang, Xing Li, Enge Song et al.· Asia-Pacific Workshop on Net...· 0 citations
ParaFlowO is proposed, an architecture that Parallelizes processing elephant Flows across multiple CPU cores while preserving in-Order delivery and integrates a lightweight reordering mechanism to preserve packet order and controls parallelism to mitigate contention on shared state.
Chang-Gang Zheng, Bowen Yang, Jin Ke et al.· Asia-Pacific Workshop on Net...· 1 citation
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