AggreFlow: Achieving power efficiency, load balancing, and quality of service in data center networks

Z Guo, Y Xu, YF Liu, S Liu, HJ Chao… - IEEE/ACM …, 2020 - ieeexplore.ieee.org
Power-efficient Data Center Networks (DCNs) have been proposed to save power of DCNs
using OpenFlow. In these DCNs, the OpenFlow controller adaptively turns on/off links and …

Dynamic flow scheduling for power-efficient data center networks

Z Guo, S Hui, Y Xu, HJ Chao - 2016 IEEE/ACM 24th …, 2016 - ieeexplore.ieee.org
Power-efficient Data Center Networks (DCNs) have been proposed to save power of DCNs
using OpenFlow. In these DCNs, the OpenFlow controller adaptively turns on and off links …

Distributed flow scheduling in energy-aware data center networks

R Liu, H Gu, X Yu, X Nian - IEEE Communications Letters, 2013 - ieeexplore.ieee.org
Recently, the strategy of powering off unneeded network devices is proposed for energy-
aware data center networks (DCNs). However, efficient flow scheduling is required for …

FAMG: A flow-aware and mixed granularity method for load-balancing in data center networks

Y Lu, Z Xu, X Ma - Computer Communications, 2023 - Elsevier
Abstract In current Data center Networks (DCNs), Equal-Cost Multipath (ECMP) is a default
load-balancing scheme. However, using ECMP may result in the rapid growth of Flow …

Flash: Joint Flow Scheduling and Congestion Control in Data Center Networks

C Gao, S Chu, H Xu, M Xu, K Ye… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Flow scheduling and congestion control are two important techniques to reduce flow
completion time in data center networks. While existing works largely treat them …

NAMP: Network-aware multipathing in software-defined data center networks

Y Cheng, X Jia - IEEE/ACM Transactions On Networking, 2020 - ieeexplore.ieee.org
Data center networks employ parallel paths to perform load balancing. Existing traffic
splitting schemes propose weighted traffic distribution across multiple paths via a centralized …

SmartFCT: Improving power-efficiency for data center networks with deep reinforcement learning

P Sun, Z Guo, S Liu, J Lan, J Wang, Y Hu - Computer Networks, 2020 - Elsevier
Reducing the power consumption of Data Center Networks (DCNs) and guaranteeing the
Flow Completion Time (FCT) of applications in DCNs are two major concerns for data center …

Spotlight: Scalable transport layer load balancing for data center networks

A Aghdai, CY Chu, Y Xu, DH Dai, J Xu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Load Balancing plays a vital role in cloud data centers to distribute traffic among instances of
network functions or services. State-of-the-art load balancers dispatch traffic obliviously …

Luopan: Sampling-based load balancing in data center networks

P Wang, G Trimponias, H Xu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Data center networks demand high-performance, robust, and practical data plane load
balancing protocols. Despite progress, existing work falls short of meeting these …

Load balancing with traffic isolation in data center networks

T Zhang, Q Zhang, Y Lei, S Zou, J Huang… - Future Generation …, 2022 - Elsevier
The topologies of current data center networks are typically multi-rooted trees (eg leaf–
spine) with rich parallel paths between any pair of hosts. Recent progress has demonstrated …