Intelligent load balancing techniques in software defined networks: A survey
In the current technology driven era, the use of devices that connect to the internet has
increased significantly. Consequently, there has been a significant increase in internet …
increased significantly. Consequently, there has been a significant increase in internet …
A survey and future directions on clustering: From WSNs to IoT and modern networking paradigms
Many Internet of Things (IoT) networks are created as an overlay over traditional ad-hoc
networks such as Zigbee. Moreover, IoT networks can resemble ad-hoc networks over …
networks such as Zigbee. Moreover, IoT networks can resemble ad-hoc networks over …
Analysis of fractional order sliding mode control in a D-STATCOM integrated power distribution system
T Ahmed, A Waqar, RM Elavarasan, J Imtiaz… - IEEE …, 2021 - ieeexplore.ieee.org
At present, the disturbances like the voltage fluctuations, resulting from the grid's
complexities and unbalanced load conditions, create severe power quality concerns like …
complexities and unbalanced load conditions, create severe power quality concerns like …
Bidl: A high-throughput, low-latency permissioned blockchain framework for datacenter networks
A permissioned blockchain framework typically runs an efficient Byzantine consensus
protocol and is attractive to deploy fast trading applications among a large number of …
protocol and is attractive to deploy fast trading applications among a large number of …
A genetic load balancing algorithm to improve the QoS metrics for software defined networking for multimedia applications
With the increasing growth in the network and latest technologies by which people
communicates via voice or data and modifies the radio devices easily and cost effectively …
communicates via voice or data and modifies the radio devices easily and cost effectively …
TSSM: Time-sharing switch migration to balance loads of distributed SDN controllers
Software-defined networking (SDN) makes network management easier by using a
controller to govern all switches, but the controller may become a performance bottleneck …
controller to govern all switches, but the controller may become a performance bottleneck …
Deep active learning intrusion detection and load balancing in software-defined vehicular networks
U Ahmed, JCW Lin, G Srivastava… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Software-defined vehicular networks (SDVN) can help analyze and reconfigure networks.
Massive data generation in autonomous vehicles can lead to issues in network …
Massive data generation in autonomous vehicles can lead to issues in network …
LBSMT: Load balancing switch migration algorithm for cooperative communication intelligent transportation systems
We entered an era when the automotive industry is undergoing a digital revolution.
Automobiles evolving into automated movable objects are using artificial intelligence …
Automobiles evolving into automated movable objects are using artificial intelligence …
[HTML][HTML] A resource allocation deep active learning based on load balancer for network intrusion detection in SDN sensors
U Ahmed, JCW Lin, G Srivastava - Computer Communications, 2022 - Elsevier
Dynamic traffic in a software-defined network (SDN) causes explosive data to flow from one
system to another. The explosive data affects the functionality of system parameters, network …
system to another. The explosive data affects the functionality of system parameters, network …
Intelligent load balancing techniques in software defined networks: A systematic review
In the current era of technology, the number of users connecting to the internet has
increased rapidly. If the situation is like Pandemic (COVID-19), the demand of the data …
increased rapidly. If the situation is like Pandemic (COVID-19), the demand of the data …