5 citations · 6 across the 19 of their papers we have counts for
9 papers · 1 filter
Characterizing and Bridging the Diagnostic Gap in eBPF Verifier Rejections
Yusheng Zheng, Zhengjie Ji, Weichen Tao +5
eBPF lets developers run custom programs inside the Linux kernel, where a verifier proves each program safe. However, when the verifier rejects a program, the unclear error makes r…
ActPlane: Programmable OS-Level Policy Enforcement for Agent Harnesses
Yusheng Zheng, Tianyuan Wu, Quanzhi Fu +6
AI agents increasingly run in production through harnesses, the software around the LLM, including an engine that enforces safety and effectiveness policies, e.g., 'run tests befor…
Kops: Safely Extending the eBPF Compilation Pipeline with Native Operations
Yusheng Zheng, Zhengjie Ji, Weichen Tao +4
eBPF safely extends OS kernels in domains such as networking, observability, and security. The safety comes from an in-kernel compilation pipeline where a verifier checks every pro…
ReFlux: Reversible Compute Placement for CXL-Enabled Storage
Yanpeng Hu, Yiwei Yang, Yusheng Zheng +4
Static offload to computational storage devices proves brittle because device-side processors throttle under sustained thermal load, while opaque, vendor-specific interfaces inflat…
AgentCgroup: Understanding and Controlling OS Resources of AI Agents
Yusheng Zheng, Jiakun Fan, Quanzhi Fu +3
AI agents are increasingly deployed in multi-tenant cloud environments, where they execute diverse tool calls within sandboxed containers, each call with distinct resource demands…
gpu_ext: Extensible OS Policies for GPUs via eBPF
Yusheng Zheng, Tong Yu, Yiwei Yang +8
Performance in modern GPU-centric systems increasingly depends on resource management policies, including memory placement, scheduling, and observability. However, uniform policies…
CXLAimPod: CXL Memory is all you need in AI era
Yiwei Yang, Yusheng Zheng, Yiqi Chen +5
The proliferation of data-intensive applications, ranging from large language models to key-value stores, increasingly stresses memory systems with mixed read-write access patterns…
AgentSight: System-Level Observability for AI Agents Using eBPF
Yusheng Zheng, Yanpeng Hu, Tong Yu +1
Modern software infrastructure increasingly relies on LLM agents for development and maintenance, such as Claude Code and Gemini-cli. However, these AI agents differ fundamentally…
MVVM: Deploy Your AI Agents-Securely, Efficiently, Everywhere
Yiwei Yang, Aibo Hu, Yusheng Zheng +6
The rise of AI agents powered by Large Language Models (LLMs) presents critical challenges: how to securely execute and migrate these agents across heterogeneous environments while…