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My research builds abstractions and runtime systems for programmable, virtualized, and heterogeneous computing infrastructures across edge and cloud datacenters. I take a systems lens: programming models, runtime mechanisms, and resource management that hide hardware diversity while keeping applications resilient and secure. Lately, I focus on how these ideas extend across heterogeneous hardware, from programmable switches and SmartNICs to GPUs.

Current Projects

Programming and Operating Systems for In-Network Computing

Systems and abstractions for deploying, managing, and evolving programs on programmable network hardware

Alkali (NSDI'25) · ExoPlane (NSDI'23) · RedPlane (SIGCOMM'21) · TEA (SIGCOMM'20)

5G Edge Computing for Real-Time Interactive Applications

Cellular edge infrastructure for real-time physical and edge AI

SMEC (NSDI'26) · ARMA (MobiSys'25)

Secure and Resilient 5G Infrastructure

Security and resilience mechanisms for emerging open RAN architectures

5G Fronthaul Security (USENIX Security'24) · Slingshot (SIGCOMM'23) · Atlas (MobiCom'23)

Realistic Synthetic Data Generation for Datacenter Applications

AI-driven approaches for synthesizing realistic testing environments and traces to support development and evaluation of applications and OS policies

Mimesys (OSDI'26) · TraceLLM (EMNLP'25)

Daehyeok Kim