Reinforcement learning for bandwidth estimation and congestion control in real-time communications. - Joyce Fang; Martin Ellis; Bin Li 012; Siyao Liu; Yasaman Hosseinkashi; Michael Revow; Albert Sadovnikov; Ziyuan Liu; Peng Cheng; Sachin Ashok; David Zhao; Ross Cutler; et al. (CoRR, 2019)

iBox: Internet in a Box. - Sachin Ashok; Sai Surya Duvvuri; Nagarajan Natarajan; Venkata N. Padmanabhan; Sundararajan Sellamanickam; Johannes Gehrke (HotNets, 2020)

Leveraging Service Meshes as a New Network Layer. - Sachin Ashok; Philip Brighten Godfrey; Radhika Mittal (HotNets, 2021)

Fast and efficient lookups via data-driven FIB designs. - Sachin Ashok; Aditi Partap; Ammar Tahir (FIRA@SIGCOMM, 2022)

Data-Driven Network Path Simulation with iBox. - Sachin Ashok; Shubham Tiwari; Nagarajan Natarajan; Venkata N. Padmanabhan; Sundararajan Sellamanickam (Proc. ACM Meas. Anal. Comput. Syst., 2022)

Murphy: Performance Diagnosis of Distributed Cloud Applications. - Vipul Harsh; Wenxuan Zhou; Sachin Ashok; Radhika Niranjan Mysore; Brighten Godfrey; Sujata Banerjee (SIGCOMM, 2023)

TraceWeaver: Distributed Request Tracing for Microservices Without Application Modification. - Sachin Ashok; Vipul Harsh; Brighten Godfrey; Radhika Mittal; Srinivasan Parthasarathy 002; Larisa Shwartz (SIGCOMM, 2024)