A comprehensive survey of load balancing techniques in software-defined network
A software-defined network (SDN) separates the network control plane from the data
forwarding plane. SDN has shown significant benefits in many ways compared to …
forwarding plane. SDN has shown significant benefits in many ways compared to …
An evolutionary SVM model for DDOS attack detection in software defined networks
Software-Defined Network (SDN) has become a promising network architecture in current
days that provide network operators more control over the network infrastructure. The …
days that provide network operators more control over the network infrastructure. The …
Supervised link prediction using structured‐based feature extraction in social network
Social network analysis (SNA) has attracted a lot of attention in several domains in the past
decades. It can be of 2‐folds: one is content‐based, and another one is structured‐based …
decades. It can be of 2‐folds: one is content‐based, and another one is structured‐based …
SDN-Aided edge computing-enabled AI for IoT and smart cities
In today's internet of things (IoT), a vast amount of data is produced by numerous connected
devices. Previously, the data produced was uploaded to thee cloud for communicating with …
devices. Previously, the data produced was uploaded to thee cloud for communicating with …
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 …
SDCF: A software-defined cyber foraging framework for cloudlet environment
S Nithya, M Sangeetha, KNA Prethi… - … on Network and …, 2020 - ieeexplore.ieee.org
The cloudlets can be deployed over mobile devices or even fixed state powerful servers that
can provide services to its users in physical proximity. Executing workloads on cloudlets …
can provide services to its users in physical proximity. Executing workloads on cloudlets …
Load balancing optimization in software-defined wide area networking (SD-WAN) using deep reinforcement learning
Software-Defined Wide Area Network (SD-WAN) holds tremendous potential to provide multi-
cloud multi-network interconnection and prevent channel congestion. However, traffic …
cloud multi-network interconnection and prevent channel congestion. However, traffic …
Swarm intelligence based feature selection for intrusion and detection system in cloud infrastructure
V Ravindranath, S Ramasamy… - 2020 IEEE congress …, 2020 - ieeexplore.ieee.org
Network intrusion and cyber attacks are the most severe concern for Cloud computing
service providers. The vulnerability of attacks is on a hike that manual or simple rule-based …
service providers. The vulnerability of attacks is on a hike that manual or simple rule-based …
Extensive performance analysis of OpenDayLight (ODL) and open network operating system (ONOS) SDN controllers
Abstract The term Software Defined Network or SDN is one of the many emerging
technologies that has been revolutionizing the concept of networking. By decoupling the …
technologies that has been revolutionizing the concept of networking. By decoupling the …
Loan Default Prediction Using Machine Learning Techniques
T Aditya Sai Srinivas, S Ramasubbareddy… - Innovations in Computer …, 2022 - Springer
Loans are a very fundamental source of any bank's revenue, so they work tirelessly to make
sure that they only give loans to customers who will not default on the monthly payments …
sure that they only give loans to customers who will not default on the monthly payments …