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Yan Cai

Researcher at University of Massachusetts Amherst

Publications -  12
Citations -  94

Yan Cai is an academic researcher from University of Massachusetts Amherst. The author has contributed to research in topics: Network packet & Burstiness. The author has an hindex of 6, co-authored 12 publications receiving 94 citations.

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Proceedings ArticleDOI

Practical Packet Pacing in Small-Buffer Networks

TL;DR: This work proposes a novel packet pacing mechanism that can smooth traffic bursts and shows the effectiveness of the pacer on in terms of reduced network congestion and improving network throughput.
Journal ArticleDOI

Delaying Transmissions in Data Communication Networks to Improve Transport-Layer Performance

TL;DR: A Queue Length Based Pacing (QLBP) algorithm is presented that paces network traffic using a single queue and that can be implemented with small computational and memory overhead and can improve connection throughput in small-buffer networks.
Proceedings ArticleDOI

A Practical On-line Pacing Scheme at Edges of Small Buffer Networks

TL;DR: This work presents a pacing system that proactively shapes traffic in the edge network to reduce burstiness and shows that it can achieve higher throughput than end-system based pacing.
Proceedings ArticleDOI

A Three-Stage Load-Balancing Switch

TL;DR: This paper proposes a three-stage load- balancing switch along with output load-balancing to address the mis-sequencing problem and shows that the proposed scheme provides a delay guarantee bounded by the delay of an OQ switch with the same input traffic plus a constant while achieving 100% throughput for admissible traffic with (sigma, rho) -upper constraint.
Journal ArticleDOI

A Study on the Performance of a Three-Stage Load-Balancing Switch

TL;DR: This paper addresses the mis-sequencing problem by introducing a three-stage load-balancing switch architecture enhanced with an output load- Balancing mechanism that achieves a high forwarding capacity while preserving the order of packets without the need of costly online scheduling algorithms.