Skip to main content

software defined networking

 Software-Defined Networking (SDN) is an architectural approach to networking that separates the control plane from the data plane, providing centralized control and programmability to network management. In traditional networking, control functions and forwarding functions are tightly coupled in network devices like routers and switches. However, in SDN, the control plane is abstracted from the underlying hardware and implemented as software.


In an SDN architecture, there are three main components:

  1. Data Plane: The data plane consists of network devices such as switches, routers, and access points. These devices are responsible for forwarding network traffic based on instructions received from the control plane.

  2. Control Plane: The control plane is the brains of the SDN architecture. It consists of one or more controllers that have a global view of the network and make decisions about how network traffic should be forwarded. Controllers communicate with the data plane devices using a standardized protocol like OpenFlow.

  3. Southbound and Northbound APIs: The southbound API is used to communicate between the control plane and the data plane. OpenFlow is one of the most common southbound APIs used in SDN. The northbound API, on the other hand, allows external applications or services to interact with the SDN controller to control and manage the network programmatically.



#networkscience  #socialnetworks  #complexnetworks  #datascience  #graphtheory  #networkanalysis  #datavisualization  #networkresearch #networktopology #networkdynamics #socialnetworkanalysis  #datamining  #bigdataanalytics  #computationalnetworks #machinelearning  #artificialintelligence  #networkvisualization #communitydetection #graphanalytics  #graphdatabases  #networkanalysis  #graphalgorithms  #cybersecurityanalytics #dataengineering  #cloudcomputing  #fraudanalytics #cybersecurity 

 

Visit Our Website: networkscience.researchw.com
Visit Our Conference Nomination : https://x-i.me/netcon
Visit Our Award Nomination : https://x-i.me/netnom
Contact us : network@researchw.com

Get Connected Here:
==================
Pinterest         : https://in.pinterest.com/emileyvaruni/
Blog              : https://emileyvaruni.blogspot.com/
Tumblr            :  https://www.tumblr.com/blog/emileyvaruni
Instagram         : https://www.instagram.com/emileyvaruni/
twitter  : https://twitter.com/emileyvaruni

Comments

Popular posts from this blog

HealthAIoT: Revolutionizing Smart Healthcare! HealthAIoT combines Artificial Intelligence and the Internet of Things to transform healthcare through real-time monitoring, predictive analytics, and personalized treatment. It enables smarter diagnostics, remote patient care, and proactive health management, enhancing efficiency and outcomes while reducing costs. HealthAIoT is the future of connected, intelligent, and patient-centric healthcare systems. What is HealthAIoT? HealthAIoT is the convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) in the healthcare industry. It integrates smart devices, sensors, and wearables with AI-powered software to monitor, diagnose, and manage health conditions in real-time. This fusion is enabling a new era of smart, connected, and intelligent healthcare systems . Key Components IoT Devices in Healthcare Wearables (e.g., smartwatches, fitness trackers) Medical devices (e.g., glucose monitors, heart rate sensors) Rem...
Detecting Co-Resident Attacks in 5G Clouds! Detecting co-resident attacks in 5G clouds involves identifying malicious activities where attackers share physical cloud resources with victims to steal data or disrupt services. Techniques like machine learning, behavioral analysis, and resource monitoring help detect unusual patterns, ensuring stronger security and privacy in 5G cloud environments. Detecting Co-Resident Attacks in 5G Clouds In a 5G cloud environment, many different users (including businesses and individuals) share the same physical infrastructure through virtualization technologies like Virtual Machines (VMs) and containers. Co-resident attacks occur when a malicious user manages to place their VM or container on the same physical server as a target. Once co-residency is achieved, attackers can exploit shared resources like CPU caches, memory buses, or network interfaces to gather sensitive information or launch denial-of-service (DoS) attacks. Why are Co-Resident Attack...
                        Neural Networks Neural networks are computing systems inspired by the human brain, consisting of layers of interconnected nodes (neurons). They process data by learning patterns from input, enabling tasks like image recognition, language translation, and decision-making. Neural networks power many AI applications by adjusting internal weights through training with large datasets.                                                    Structure of a Neural Network Input Layer : This is where the network receives data. Each neuron in this layer represents a feature in the dataset (e.g., pixels in an image or values in a spreadsheet). Hidden Layers : These layers sit between the input and output layers. They perform calculations and learn patterns. The more hidden layers a ne...