Zhongrui Chen

Hi there. I am a fifth-year PhD candidate in Computer Science at UNC Chapel Hill, advised by Ben Berg.

I work at the intersection of Queueing Theory and Computer Systems. Namely,

• Multiresource job scheduling: Scheduling jobs that request resources like (4 CPUs, 8GiBs, 2 GPUs, 10Gbps NIC). Hosts run many jobs in parallel subject to resource limits.
• LLM inference job scheduling: Resource allocation for inference jobs to improve system throughput and lower latency.

Our trilogy on throughput-optimal data center scheduling is as follows:

• Markovian Service Rate (MSR) Policies: [SIGMETRICS ‘25], [MAMA ‘24]
  A novel multiresource scheduling policy with response time analysis that supports multiple preemption models.
• Quickswap: [Performance ‘25]
  A novel non-preemptive multiserver scheduling policy that performs well in theory and practice.
• Scaling Cycles: [MAMA ‘26]
  A novel non-preemptive multiresource scheduling policy that performs optimally in some settings.