activity
20182021
most citedRepair Pipelining for Erasure-Coded Storage: Algorithms and Evaluation

4 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2021

MVPipe: Enabling Lightweight Updates and Fast Convergence in Hierarchical Heavy Hitter Detection

Lu Tang, Qun Huang, Patrick P. C. Lee

Finding hierarchical heavy hitters (HHHs) (i.e., hierarchical aggregates with exceptionally huge amounts of traffic) is critical to network management, yet it is often challenged b…

cs.NI2019★ 2 cited

A Fast and Compact Invertible Sketch for Network-Wide Heavy Flow Detection

Lu Tang, Qun Huang, Patrick P. C. Lee

Fast detection of heavy flows (e.g., heavy hitters and heavy changers) in massive network traffic is challenging due to the stringent requirements of fast packet processing and lim…

cs.DC2019★ 4 cited

Repair Pipelining for Erasure-Coded Storage: Algorithms and Evaluation

Xiaolu Li, Zuoru Yang, Jinhong Li +4

We propose repair pipelining, a technique that speeds up the repair performance in general erasure-coded storage. By carefully scheduling the repair of failed data in small-size un…

cs.NI2019

Metaflow: A DAG-Based Network Abstraction for Distributed Applications

Jiawei Fei, Yang Shi, Qun Huang +1

In the past decade, increasingly network scheduling techniques have been proposed to boost the distributed application performance. Flow-level metrics, such as flow completion time…

cs.DC2018

On the Performance and Convergence of Distributed Stream Processing via Approximate Fault Tolerance

Zhinan Cheng, Qun Huang, Patrick P. C. Lee

Fault tolerance is critical for distributed stream processing systems, yet achieving error-free fault tolerance often incurs substantial performance overhead. We present AF-Stream,…