Load balancing in data center networks: A survey
Data center networks usually employ the scale-out model to provide high bisection
bandwidth for applications. A large amount of data is required to be transferred frequently …
bandwidth for applications. A large amount of data is required to be transferred frequently …
An overview of queuing delay and various delay based algorithms in networks
In the era of modern technology, the demand for seamless and fast communication service
is gradually increasing. Moreover, as time goes on, more devices are getting connected to …
is gradually increasing. Moreover, as time goes on, more devices are getting connected to …
Traffic engineering with equal-cost-multipath: An algorithmic perspective
To efficiently exploit the network resources operators, do traffic engineering (TE), ie, adapt
the routing of traffic to the prevailing demands. TE in large IP networks typically relies on …
the routing of traffic to the prevailing demands. TE in large IP networks typically relies on …
Deep Q-learning for routing schemes in SDN-based data center networks
Q Fu, E Sun, K Meng, M Li, Y Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
In order to adapt to the rapid development of cloud computing, big data, and other
technologies, the combination of data center networks and SDN is proposed to make …
technologies, the combination of data center networks and SDN is proposed to make …
CAPS: Coding-based adaptive packet spraying to reduce flow completion time in data center
Modern data-center applications generate a diverse mix of short and long flows with different
performance requirements and weaknesses. The short flows are typically delay-sensitive but …
performance requirements and weaknesses. The short flows are typically delay-sensitive but …
Online elephant flow prediction for load balancing in programmable switch based DCN
S **e, G Hu, C **ng, Y Liu - IEEE Transactions on Network and …, 2023 - ieeexplore.ieee.org
In the data center network, traffic has a distinct heavy-tailed distribution characteristic, with
the minority of throughput-sensitive elephant flows occupy most of the bandwidth and the …
the minority of throughput-sensitive elephant flows occupy most of the bandwidth and the …
Flex: A flowlet-level load balancing based on load-adaptive timeout in DCN
X Diao, H Gu, X Yu, L Qin, C Luo - Future Generation Computer Systems, 2022 - Elsevier
Load balancing mechanisms spread traffic across multiple paths to achieve high throughput
and low latency in data center networks. Flowlet switching has been proven to be a powerful …
and low latency in data center networks. Flowlet switching has been proven to be a powerful …
DeFlow: Differential flowlet switching for load balancing in datacenter networks
Multipath enhances the reliability and bandwidth of datacenter networks, but it also
necessitates effective load balancing. The dynamic nature of traffic and diverse flow …
necessitates effective load balancing. The dynamic nature of traffic and diverse flow …
TLB: Traffic-aware load balancing with adaptive granularity in data center networks
Modern datacenter topologies typically are multi-rooted trees consisting of multiple paths
between any given pair of hosts. Recent load balancing designs focus on making full use of …
between any given pair of hosts. Recent load balancing designs focus on making full use of …
SDN-based routing framework for elephant and mice flows using unsupervised machine learning
Software-defined networks (SDNs) have the capabilities of controlling the efficient
movement of data flows through a network to fulfill sufficient flow management and effective …
movement of data flows through a network to fulfill sufficient flow management and effective …