activity
20162022
most citedElasticity Detection: A Building Block for Internet Congestion Control

9 citations · 11 across the 4 of their papers we have counts for

collaborators

5 papers

cs.NI2022

High-Level Synthesis for Packet-Processing Pipelines

Xiangyu Gao, Divya Raghunathan, Ruijie Fang +5

Compiling high-level programs to target high-speed packet-processing pipelines is a challenging combinatorial optimization problem. The compiler must configure the pipeline's resou…

cs.PL2021★ 1 cited

Sound, Precise, and Fast Abstract Interpretation with Tristate Numbers

Harishankar Vishwanathan, Matan Shachnai, Srinivas Narayana +1

Extended Berkeley Packet Filter (BPF) is a language and run-time system that allows non-superusers to extend the Linux and Windows operating systems by downloading user code into t…

cs.NI2021★ 1 cited

Synthesizing Safe and Efficient Kernel Extensions for Packet Processing

Qiongwen Xu, Michael D. Wong, Tanvi Wagle +2

Extended Berkeley Packet Filter (BPF) has emerged as a powerful method to extend packet-processing functionality in the Linux operating system. BPF allows users to write code in hi…

cs.NI2018★ 9 cited

Elasticity Detection: A Building Block for Internet Congestion Control

Prateesh Goyal, Akshay Narayan, Frank Cangialosi +3

This paper introduces Nimbus, a robust technique to detect whether the cross traffic competing with a flow is "elastic", and shows that this elasticity detector improves congestion…

cs.NI2016

Heavy-Hitter Detection Entirely in the Data Plane

Vibhaalakshmi Sivaraman, Srinivas Narayana, Ori Rottenstreich +2

Identifying the "heavy hitter" flows or flows with large traffic volumes in the data plane is important for several applications e.g., flow-size aware routing, DoS detection, and t…