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Cognitive Network (CN)
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)
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
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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.
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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.
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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.
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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
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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
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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.
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Explained
Network Functions Virtualization (NFV)
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
