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Enhancing Subscriber QoE with Network Policy Automation and Machine Learning

Learn how Sandvine leverages network policy automation and machine learning to enhance subscriber QoE (Quality of Experience) via dynamic bandwidth allocation across service categories, in near-real time, by analyzing operator-expressed ‘intent’.
Recorded Oct 29 2019 44 mins
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Presented by
Kamakshi Sridhar, PhD & Nicolas St-Pierre from Sandvine
Presentation preview: Enhancing Subscriber QoE with Network Policy Automation and Machine Learning

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    Kubernetes was originally developed for running large-scale container based web applications, which have been typically designed with Cloud Native principles in mind enabling workloads portability. I/O intensive applications represent a category of high-end applications such as network and trading services, that require advanced networking and deterministic performance. Kubernetes has not been design to support this category of application.

    Intel has been working with the industry to address this unmet gap in Kubernetes, adding to Kubernetes new networking features such as support for multiple interfaces, hardware accelerators, NUMA topology, CPU management and more.

    In this webinar, we will demonstrate how Cloudily orchestrates F5 Networks’ containerized network functions running in a Kubernetes managed NFVI platform using Intel® QuickAssist Technology. The solution is based on complete decoupling between system layers to allow faster application onboarding and easier Life Cycle Management, effectively delivering “Environment as a Service” (EaaS). We will also show how to use placement policy to allow the deployment of applications across multiple clouds.
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  • Enhancing Subscriber QoE with Network Policy Automation and Machine Learning Recorded: Oct 29 2019 44 mins
    Kamakshi Sridhar, PhD & Nicolas St-Pierre from Sandvine
    Learn how Sandvine leverages network policy automation and machine learning to enhance subscriber QoE (Quality of Experience) via dynamic bandwidth allocation across service categories, in near-real time, by analyzing operator-expressed ‘intent’.
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    VoerEir focus on helping operators be successful with their NFV transformation. A cornerstone in our strategy is our list of NFVI performance-KPIs, which determine the performance of VNFs deployed on top of a specific NFVI. There are two prime use cases of these KPIs; First, for a VNF vendor to be able to commit to a performance SLA, the vendor must know the characteristics of the infrastructure on which his VNF shall be deployed. Second, if a VNF does not fulfill his performance SLAs, the operator must be able to sort out where the responsibility lays, on the VNF or the NFVI vendor. The tricky part is to find the KPIs which are essential for different types of VNFs' performance. This webinar describes VoerEir’s way of reasoning when creating the list of performance-KPIs and gives examples of detailed definitions for different kinds of KPIs. It also talks about how VoerEir is working with this in industry forums, and how our test system Touchstone can is used to perform VoerEir’s NFVI evaluation service.
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Intel Network Builders
The Intel® Network Builders webinar program is a recurring webcast series in which ecosystem members and Intel technology experts delve into the technologies, topics, and issues facing the networking industry. Presenters delve into the network transformation taking place through the adoption of software defined networking (SDN) and network functions virtualization (NFV) across telecommunication and enterprise organizations.

Intel Network Builders also offers a comprehensive NFV and SDN training program through the Intel Network Builders University, which offers a broad collection of online content for technical professionals in the network industry. Learn more at http://networkbuilders.intel.com/university.

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  • Title: Enhancing Subscriber QoE with Network Policy Automation and Machine Learning
  • Live at: Oct 29 2019 3:00 pm
  • Presented by: Kamakshi Sridhar, PhD & Nicolas St-Pierre from Sandvine
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