Computer Networks

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• Case Studies
  • Risk, Compliance and Regulation
    • Cybersecurity
  • Telecommunications
• AIOps / MLOps
• Virtualization - Dynamic Spectrum Sharing (DSS)
• Containers; Docker, Kubernetes & Microservices
• Self-Organizing

Cognitive Network (CN)

• The Five Steps to Cognitive Networking | Mike Capuano - Infinera

In communication networks, cognitive network is a new type of data network that makes use of cutting edge technology from several research areas to solve some problems current networks are faced with. Cognitive network is different from cognitive radio as it covers all the layers of the OSI model. Cognitive Network | Wikipedia

Intent-Based Networking (IBN)

• Intelligent Automation
• Intelligent Assurance
• Understanding what's on the Network
• Detecting Threats in encrypted traffic

Software-Defined Enterprise (SDE) / Software-Defined Networking (SDN) / Software-defined Wide Area Network (SD-WAN)

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• Artificial Intelligence Enabled Software Defined Networking: A Comprehensive Overview | Majd Latah and Levent Toker
• SDN, AI, and DevOps | Russ White - Rule11 Reader
• Defense Information Systems Agency (DISA)
• 3 Use Cases for Machine Learning Within SD-WAN | Lanner

Virtual network architecture that allows enterprises to leverage any combination of transport services to securely connect users to applications. SD-WAN simplifies the management and operation of a WAN by decoupling the networking hardware from its control mechanism. This concept is similar to how software-defined networking implements virtualization technology to improve data center management and operation. Wikipedia

• WAN Optimization
• Fault Prediction
• Network Management
• Security

4TH Estate Network Optimization - Defense Enclave Services (DES) USDISA The Fourth Estate Network Optimization will modernize the DOD IT architecture, consolidate networks, reduce costs, improve business practices and mitigate operational and cyber risks. The 14 organizations onboarding between fiscal years 2020-2025 onto DoDNet.

ENCOR - SD-WAN Principles It's time for the ENCOR 1.4 blueprint - The Principles of SD-WAN! In this video, we explore the problems with traditional WANs, why SD-WAN is a game-changer, and how Cisco's SD-WAN solution is architected.

Artificial Intelligence (AI) on Software-Defined Network (SDN) See how DCConnect makes use of Artificial Intelligence (AI) to apply on Software-Defined Networking (SDN) so as to improve network planning and facilitate efficient network utilization. Let’s see how DCConnect helps our customers to drive their network cost down with our solution on multi-point Carrier Ethernet Orchestration.

Cisco's Intent-Based Networking and the Journey to Software Defined Networks Expert Cisco instructor Chris Olsen explores Cisco's Intent-Based Networking and the Journey to Software Defined Networks. As organizations migrate to all-digital solutions in areas like Cloud, Mobility, and IoT, the strength of network will be more critical than ever. Cisco's Intent-Based Networks and SDN solutions will enable your organization to meet the demands of tomorrow's networks including programmability and automation. To learn more about Cisco Software-Defined Networking (SDN) Training, visit http://ter.li/okom270

Towards application aware networking Featuring: Beth Cohen, NFV/SDN Network Product Strategy, Verizon SD-WAN is the first step towards application aware networking, but intelligent networking is still very much in its infancy. Not only do telecoms networks need to respond to the applications they run, but the applications themselves need to be better at responding to the network. Meanwhile, work continues at a rapid rate to minimize the number of NFVi architectures available and make their compatibility with VNFs more straightforward and faster for CSPs to implement. Filmed at: ONS Europe, Antwerp, Belgium, September 2019

Evolution of SDN in Google’s Network Infrastructure- Vijoy Pandey OpenDaylight Project Evolution of Software Defined Networking in Google’s Network Infrastructure - Vijoy Pandey, Google http://sched.co/7j8X Google has long been a pioneer in distributed computing and data processing, and we’ve known that great computing infrastructure like this requires great networking technology. For the past decade we have been building our own network hardware and software to connect all of the servers in our datacenters together, and also to connect our datacenters with each other, with Software Defined Networking principles in mind. This talk walks through the evolution of Google’s SDN-based networking infrastructure, from building an SDN-based WAN (B4), to allocating wide area bandwidth amongst thousands of individual applications based on centralized policy management (BwE), to creating building-scale data center fabrics (Jupiter). We will discuss how technologies were cross leveraged in building these networks, the operational challenges faced, and the lessons learned. Vijoy Pandey is Head of Engineering ​for Data Center Fabrics and Inter Data Center Backbone Networks at Google. He ​works on SDN and data center, cloud and backbone network architectures looking out 18 months+​, and​ leads ​the ​team responsible for the design, engineering​,​ deployment ​& operations of ​these networks. Prior to Google, he was the CTO of Networking​ at IBM where he led the technical vision & system architecture for IBM System Networking. He was previously the CTO and Director Engineering of a startup, Blade Networking Technologies (BNT) which was acquired by IBM. Before that has held various leadership and management roles in switching, security, and application delivery controller companies & startups. Vijoy holds an undergraduate degree in Computer Science from the Indian Institute of Technology, and a Ph.D. in Computer Science from the University of California, Davis.

Large Scale Overlay Networks with OVN Problems and Solutions OVN is the SDN solution provided by OVS community. In this presentation, we will have a deep dive on how we scale OVN in eBays private cloud environment to support VMs and nested workloads (k8s containers) on overlay networks. The presentation will focus on the scaling pain points of SDN and how we solved the problems by improving and tuning OVN.

Software Defined Network Virtual Lab NEC America Many networking professionals are interested in evaluating network controllers to become familiar with the power and benefits of SDN. This video demonstrates how to setup configure and deploy a SDN virtual lab on a laptop. The SDN virtual lab consists of the NEC ProgrammableFlow Controller and the Mininet network simulation tool. With this lab, users can simulate an SDN network of various topologies and test a variety of use cases .

Explained

Software-Defined WAN (SD-WAN) - Explained Learn what SD-WAN is, how it works, and its benefits. If you were ever curious about what SD-WAN is or how it works, then this explainer video will teach you the basics. See how it is more effective and efficient compared to older technology managed by Command Line Interfaces (CLI). SD-WAN offers greater flexibility, control, agility, and performance than traditional means of managing Wide Area Networks (WANs). Learn more: http://rvbd.ly/2zGYiel

What is software-defined networking (SDN)? IDG TECHtalk A graphical look at the technology behind software-defined networking (SDN)

Network Functions Virtualization (NFV)

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NFV allows network operators to manage and expand their network capabilities on demand using virtual, software based applications where physical boxes once stood in the network architecture. This makes it easier to load-balance, scale up and down, and move functions across distributed hardware resources. With continual updates, operators can keep things running on the latest software without interruption to their customers. On the road to NFV deployment | Ericsson

2. Introduction to NFV Network function Virtualization Basics - NFV Architecture and ETSI - NFV MANO http://telecomtutorial.info Covering Introduction & Tutorial for Virtualization & NFV in Telco Networks . Covering Difference between NFV & SDN or How they work . Both architectures use network abstraction, they do so differently. While NFV covers Softwarization , Virtualization and makes building blocks ready , SDN forwards data packets from one network device to another. At the same time, SDN's networking control functions for routing & policy definition NFV : Network function Virtualization : Introduction & Basics Why we need NFV & Features of NFV ETSI Framework & Specs • NFV Architecture Need of SDN Connect Me @ Linkedin : www.linkedin.com/in/vikas-shokeen Music by Joakim Karud http://youtube.com/joakimkarud Free HD Stock-Footage and Motion Graphics by CyberWebFX : http://www.youtube.com/c/CyberWebFX

A simple discrete-time model for complex NFV accelerators For further info, visit our website at https://www.lincs.fr By Leonardo Linguaglossa (Telecom ParisTech) - 2019, March 6th. Network Functions Virtualization (NFV) is among the latest network revolutions, bringing flexibility and avoiding network ossification. At the same time, all-software NFV implementations on commodity hardware raise performance issues with respect to ASIC solutions. To address these issues, numerous software acceleration frameworks for packet processing have appeared in the last few years. Common among these frameworks is the use of batching techniques. In this context, packets are processed in groups as opposed to individually, which is required at high-speed to minimize the framework overhead, reduce interrupt pressure, and leverage instruction-level cache hits. Whereas several system implementations have been proposed and experimentally benchmarked, the scientific community has so far only to a limited extent attempted to model the system dynamics of modern NFV routers exploiting batching acceleration. We fill this gap by proposing a simple generic model for such batching-based mechanisms, which allows a very detailed prediction of highly relevant performance indicators. These include the distribution of the processed batch size as well as queue size, which can be used to identify loss-less operational regimes or quantify the packet loss probability in high-load scenarios. We contrast the model prediction with experimental results gathered in a high-speed testbed including an NFV router, showing that the model not only correctly captures system performance under simple conditions, but also in more realistic scenarios in which traffic is processed by a mixture of functions. LINCS Information Networking Communication Sciences

Beyond SDN and NFV: augmenting AI to transform the network TelecomTV Five years into NFV, and we’ve reached a point where autonomous operations must be realized: IBM has been doing just that. Featuring: Steven Teitzel, Telco Global Solution Executive, Network & OSS Transformation and Security, IBM and Anil Rao, Principal Analyst, Analysys Mason Filmed at: SDN NFV World Congress 2017, The Hague, Netherlands

Difference between SDN Vs NFV : FavouriteBlog.com Top and Best Blog about AI/Machine Learning Deep Learning - FavouriteBlog.com Check SDN Video on other Channel.