Load balancing in DCN servers through SDN machine learning algorithm
Abstract Development in Internet technologies increases Internet users exponentially.
Increase in users leads to more data center network (DCN) and heavy data traffic in servers …
Increase in users leads to more data center network (DCN) and heavy data traffic in servers …
Performance evaluation of elephant flow predictors in data center networking
The dynamic characteristics and unpredictability of the traffic generated by applications and
services have given rise to some problems in data center networks (DCN). In particular, the …
services have given rise to some problems in data center networks (DCN). In particular, the …
Traffic load balancing based on probabilistic routing in data center networks
Traffic Load Balancing based on Probabilistic Routing in Data Center Networks Page 1 978-3-903176-21-8
© 2020 IFIP Traffic Load Balancing based on Probabilistic Routing in Data Center Networks Fu …
© 2020 IFIP Traffic Load Balancing based on Probabilistic Routing in Data Center Networks Fu …
Buffer occupancy-based transport to reduce flow completion time of short flows in data center networks
H Ahmed, MJ Arshad - Symmetry, 2019 - mdpi.com
Today's data centers host a variety of different applications that impose specific
requirements for their flows. Applications that generate short flows are usually latency …
requirements for their flows. Applications that generate short flows are usually latency …
Data Transmission Algorithm in the IP Communication Networks Integrated Optimization Method
EA Spirina - … Intelligent Technologies and Electronic Devices in …, 2021 - ieeexplore.ieee.org
The work is devoted to the development for data transmission algorithm in the IP
communication networks integrated optimization method. The developed algorithm provides …
communication networks integrated optimization method. The developed algorithm provides …
[PDF][PDF] QIBMRMN: Design of a Q-Learning based Iterative sleep-scheduling & hybrid Bioinspired Multipath Routing model for Multimedia Networks
M Doorwar, P Malathi - International Journal of Electronics and …, 2023 - journals.pan.pl
Multimedia networks utilize low-power scalar nodes to modify wakeup cycles of high-
performance multimedia nodes, which assists in optimizing the power-toperformance ratios …
performance multimedia nodes, which assists in optimizing the power-toperformance ratios …
QoS Extensions for Flow-Awareness Networks
S Kaczmarek, M Wolff - International Journal of Electronics and …, 2022 - mostwiedzy.pl
The paper contains a description and research results of the proposal for distributed QoS
extensions for Flow-Based Networking. These QoS extensions let the network accept or …
extensions for Flow-Based Networking. These QoS extensions let the network accept or …
Scaling and Interoperability of All-Path with Bridged and SDN Domains using VXLANs
J Alvarez-Horcajo, G Ibanez… - 2019 IEEE 44th …, 2019 - ieeexplore.ieee.org
All-Path protocols, namely ARP-Path and TCP-Path, provide shortest path bridging by using
path discovery and backwards learning in meshed topologies. However, their domain size …
path discovery and backwards learning in meshed topologies. However, their domain size …
Traffic engineering in data center networks: prediction and scheduling via randomized rounding for elephant flows
JM BEZERRA - 2020 - repositorio.ufpe.br
Applications and services hosted in large Data Centers account for most of the increase in
Internet traffic. Data Center Networks (DCNs) are often designed with a fat-tree topology …
Internet traffic. Data Center Networks (DCNs) are often designed with a fat-tree topology …