5 citations · 6 across the 4 of their papers we have counts for
4 papers
Prediction-Guided Control in Data Center Networks
Kevin Zhao, Chenning Li, Anton A. Zabreyko +7
In this paper, we design, implement, and evaluate Polyphony, a system to give network operators a new way to control and reduce the frequency of poor tail latency events in multi-c…
m4: A Learned Flow-level Network Simulator
Chenning Li, Anton A. Zabreyko, Arash Nasr-Esfahany +4
Flow-level simulation is widely used to model large-scale data center networks due to its scalability. Unlike packet-level simulators that model individual packets, flow-level simu…
Scalable Tail Latency Estimation for Data Center Networks
Kevin Zhao, Prateesh Goyal, Mohammad Alizadeh +1
In this paper, we consider how to provide fast estimates of flow-level tail latency performance for very large scale data center networks. Network tail latency is often a crucial m…
SWP: Microsecond Network SLOs Without Priorities
Kevin Zhao, Prateesh Goyal, Mohammad Alizadeh +1
The increasing use of cloud computing for latency-sensitive applications has sparked renewed interest in providing tight bounds on network tail latency. Achieving this in practice…