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 …
A comprehensive survey of service function chain provisioning approaches in SDN and NFV architecture
Abstract Network Function Virtualization (NFV) has emerged as an innovative network
architecture paradigm that uses IT virtualization technology to abstract the network node …
architecture paradigm that uses IT virtualization technology to abstract the network node …
[PDF][PDF] Detection Collision Flows in SDN Based 5G Using Machine Learning Algorithms.
The rapid advancement of wireless communication is forming a hyper-connected 5G
network in which billions of linked devices generate massive amounts of data. The traffic …
network in which billions of linked devices generate massive amounts of data. The traffic …
Software-defined networks for resource allocation in cloud computing: A survey
Cloud computing has a shared set of resources, including physical servers, networks,
storage, and user applications. Resource allocation is a critical issue for cloud computing …
storage, and user applications. Resource allocation is a critical issue for cloud computing …
Integration of hybrid networks, AI, ultra massive-MIMO, THz frequency, and FBMC modulation toward 6G requirements: A review
The fifth-generation (5G) wireless communications have been deployed in many countries
with the following features: wireless networks at 20 Gbps as peak data rate, a latency of 1 …
with the following features: wireless networks at 20 Gbps as peak data rate, a latency of 1 …
Detection and classification of conflict flows in SDN using machine learning algorithms
Software-Defined Networking (SDN) is a new type of technology that embraces high
flexibility and adaptability. The applications in SDN have the ability to manage and control …
flexibility and adaptability. The applications in SDN have the ability to manage and control …
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 …
Early detection of abnormal attacks in software-defined networking using machine learning approaches
HM Chuang, F Liu, CH Tsai - Symmetry, 2022 - mdpi.com
Recent developments have made software-defined networking (SDN) a popular technology
for solving the inherent problems of conventional distributed networks. The key benefit of …
for solving the inherent problems of conventional distributed networks. The key benefit of …
Machine learning-based elephant flow classification on the first packet
In this paper, we explore the applicability of selected machine learning models to classify
incoming flows as elephants or mice on the first packet, using Internet Protocol (IP) and …
incoming flows as elephants or mice on the first packet, using Internet Protocol (IP) and …
Traffic classification in IP networks through Machine Learning techniques in final systems
Data centers in higher education institutions, as well as those of large corporations, face
challenges in terms of traffic flow management. In some cases, due to the limited hardware …
challenges in terms of traffic flow management. In some cases, due to the limited hardware …