activity
20172020
most citedCFR-RL: Traffic Engineering with Reinforcement Learning in SDN

184 citations · 197 across the 6 of their papers we have counts for

collaborators

12 papers

cs.NI2020184 cited

CFR-RL: Traffic Engineering with Reinforcement Learning in SDN

Junjie Zhang, Minghao Ye, Zehua Guo +2

Traditional Traffic Engineering (TE) solutions can achieve the optimal or near-optimal performance by rerouting as many flows as possible. However, they do not usually consider the…

cs.NI2020

To schedule or not to schedule: when no-scheduling can beat the best-known flow scheduling algorithm in datacenter networks

Soheil Abbasloo, Yang Xu, H. Jonathan Chao

Conventional wisdom for minimizing the average flow completion time (AFCT) in the datacenter network (DCN), where flow sizes are highly variable, would suggest scheduling every ind…

cs.NI2020

SharpEdge: An Asynchronous and Core-Agnostic Solution to Guarantee Bounded-Delays

Soheil Abbasloo, H. Jonathan Chao

What are the key properties that a network should have to provide bounded-delay guarantees for the packets? In this paper, we attempt to answer this question. To that end, we explo…

cs.NI2019

Wanna Make Your TCP Scheme Great for Cellular Networks? Let Machines Do It for You!

Soheil Abbasloo, Chen-Yu Yen, H. Jonathan Chao

Can we instead of designing just another new TCP, design a TCP \textit{plug-in} which can boost the performance of the existing/future TCP designs in cellular networks? To answer t…

cs.NI2019

Bounding Queue Delay in Cellular Networks to Support Ultra-Low Latency Applications

Soheil Abbasloo, H. Jonathan Chao

Most of the current active queue management (AQM) designs have major issues including severe hardship of being tuned for highly fluctuated cellular access link bandwidths. Conseque…

cs.NI2019

Intelligent Anomaly Detection and Mitigation in Data Centers

Ashkan Aghdai, Kang Xi, H. Jonathan Chao

Data centers play a key role in today's Internet. Cloud applications are mainly hosted on multi-tenant warehouse-scale data centers. Anomalies pose a serious threat to data centers…