use case

Use Cases for Permissioned Blockchain Platforms

Use Cases for Permissioned Blockchain Platforms

February 13, 2020

In this talk, Jay and Swetha will demonstrate how certain blockchain use cases can benefit from a permissioned platform, such as Hyperledger Fabric, versus public ones. For example, voting is an integ …
Akraino: A Technical Overview

Akraino: A Technical Overview

February 12, 2020

In the past decade, there has been a concerted effort among companies to move infrastructure to centralized clouds, enabled by virtualization. With the rise of IoT and explosion of device-generated da …
Practical Verification for Edge AI use and Effort for Functional Improvement

Practical Verification for Edge AI use and Effort for Functional Improvement

February 12, 2020

Theme presentation regarding practical verification result of study data updating model at edge AI use and functional improvement (OpenCL application to AGL). Through above, we are willing to pick up …
Remote Access and Output Sharing Between Multiple ECUs for Automotive

Remote Access and Output Sharing Between Multiple ECUs for Automotive

February 12, 2020

In the future, there are requirements about multiple display , e.g.IVI, Cluster, HUD(Head-up display), Rear-Display, etc in Automotive Cockpit. A system that shares images with multiple ECUs is requir …
Extending Reach of Open Source Through Standards

Extending Reach of Open Source Through Standards

February 11, 2020

ABSTRACT: Open source communities move quickly, value running code, and docs are best effort at best. Standards move slowly, value precise specs, and compromise fo …
SDN-based Automated Peering Optimization, Challenges and Solutions

SDN-based Automated Peering Optimization, Challenges and Solutions

February 11, 2020

With rapid increase in internet traffic, uptake in demand for strict per application latency and jitter SLA, network operators are more and more challenged to meet …
Monitoring custom metrics; or, How I learned to instrument first and ask questions later

Monitoring custom metrics; or, How I learned to instrument first and ask questions later

February 10, 2020

Maxime Petazzoni explains why monitoring custom application metrics is essential for visibility into the internal workings of a system and shares a framework for properly instrumenting them, along with a number of relevant use cases.
Lightning Talk: The Sunset of VXLAN

Lightning Talk: The Sunset of VXLAN

February 9, 2020

VXLAN has been around for a decade, there are substantial numbers of deployments, and everything seems to be perfect. What might be wrong? It appears that many thi …
Package Management and Distribution in a Cloud World

Package Management and Distribution in a Cloud World

February 9, 2020

The open source ecosystem has long been at the forefront of innovation in software distribution and package management, whether we're talking about Linux, open source library ecosystems like Node.js' …
Continuous delivery in an ephemeral world

Continuous delivery in an ephemeral world

February 8, 2020

With systems like Travis CI, Circle CI, and CodeBuild, we're never more than a few lines of YAML away from a complete continuous delivery pipeline. However, ephemeral build systems constantly recreate the world from scratch, increasing build time and lengthening the CD feedback loop. John Chapin addresses those challenges and shares a reference pipeline using AWS CodePipeline and CodeBuild.
Documenting serverless architectures: Could we do it better?

Documenting serverless architectures: Could we do it better?

February 8, 2020

We don't yet have an adequate language for describing serverless architectures. Today, we use informal diagrams in which no precise meaning can be attached to the diagram as a whole or to any particular element. Asher Sterkin explains why this is a problem and what we can do about it.
Segment Routing for DCI

Segment Routing for DCI

February 8, 2020

Abstract: This talk will cover two talk tracks into a single presentation. First, a technology overview of applicable Segment Routing (SR) components for an IXP ne …
The Work of Containerized NFV Infrastructure on Arm Platform

The Work of Containerized NFV Infrastructure on Arm Platform

February 8, 2020

As we know, containerized NFV infrastructure is becoming thriving with its great prospect in carrier-grade cloud applications.Arm is a platinum member of OPNFV community who takes high importance for …
Adding Screen-Capture and Event Injection Support of the HMI to AGL

Adding Screen-Capture and Event Injection Support of the HMI to AGL

February 7, 2020

Adding the ability to capture the screen and inject input events on the car's HMI opens up a number of powerful use-cases. However, due to technical and security reasons it is not easy for an AGL appl …
Athenz: The Open-Source Solution to Provide Access Control in Dynamic Infrastructures

Athenz: The Open-Source Solution to Provide Access Control in Dynamic Infrastructures

February 7, 2020

Most Cloud computing environments are based on self-service thus authorization configuration is frequent and dynamic.Furthermore, in Microservices architecture, each service communicates via Web APIs …
EVPN for Everyone Else - Evolved Campus Core

EVPN for Everyone Else - Evolved Campus Core

February 7, 2020

Today when you hear someone talk about EVPN/VXLAN it's more than likely in the context of a DataCenter. This session will address another use case and a novel way …
Real Time Virtualization Exploration

Real Time Virtualization Exploration

February 7, 2020

Virtualization technologies has already been deployed in the embedded systems but in many use scenarios, applications/services should be responded in real time. Some typical hypervisors are constructe …
A day in the life of a data scientist in an AI company

A day in the life of a data scientist in an AI company

February 5, 2020

With the growing buzz around data science, many professionals want to learn how to become a data scientistthe role Harvard Business Review called the "sexiest job of the 21st century." Francesca Lazzeri and Jaya Mathew explain what it takes to become a data scientist and how artificial intelligence solutions have started to reinvent businesses.
AI and machine learning at Amazon (sponsored by Amazon Web Services)

AI and machine learning at Amazon (sponsored by Amazon Web Services)

February 5, 2020

Ian Massingham discusses the application of ML and AI within Amazon, from retail product recommendations to the latest in natural language understanding, and explains how you can use easily accessible services from AWS to include AI features within your applications or build your own custom ML models for your own specific AI use cases.
Beyond the contract: Effective cross-sector collaboration and the Turing-HSBC partnership

Beyond the contract: Effective cross-sector collaboration and the Turing-HSBC partnership

February 5, 2020

In 2016, the Alan Turing Institute, the UKs new national institute for data science and AI, announced a funded strategic multiyear research partnership with HSBC. Christine Foster and Rakshit Kapoor share insights and use cases that emerged while making this ambitious and innovative cross-sector partnership work.
High Altitude, Low Risk: Measuring Reliability in the Cloud Using Open Source Technology

High Altitude, Low Risk: Measuring Reliability in the Cloud Using Open Source Technology

February 5, 2020

With the financial convenience and flexibility of per-instance spend that cloud hosting allows, it follows that companies of all sizes have migrated their resources to the virtual world, putting their …
SDN Controllers in the WAN: protocols and applications

SDN Controllers in the WAN: protocols and applications

February 5, 2020

Some operators have recently been deploying SDN Controllers in the WAN for the first time. This presentation discusses the protocols needed to underpin a quasi-rea …
Executive Briefing: Who is going to make money in AI? Understanding the value chain of AI

Executive Briefing: Who is going to make money in AI? Understanding the value chain of AI

February 4, 2020

We're experiencing an AI gold rush. Tech giants, corporations, startups, and governments are investing billions, and headlines about AI have reached fever pitch. It's dizzying to keep track of the latest AI developments and claims. Join Simon Greenman to learn who can and who will make money in this gold rushand who will become economic casualties along the way.
Network Automation: Do I Need Expensive Tools To Do Meaningful Automation?

Network Automation: Do I Need Expensive Tools To Do Meaningful Automation?

February 4, 2020

This talk will focus on: 1 - Automation Domains 2 - Use Cases for Consideration 3 - Open Source Tooling used in Network Automation Case Studies 4 - Case Studies: - …
Network Operational Simplicity via Zero Touch Deployment (ZTD)

Network Operational Simplicity via Zero Touch Deployment (ZTD)

February 4, 2020

Zero Touch Deployment (ZTD) brings network automation and operational simplicity in the network infrastructure. It reduces operational cost by reducing human error …
Spice Up Your Workloads With Kata Containers

Spice Up Your Workloads With Kata Containers

February 4, 2020

During the last year, the Kata community has been busy working on their first release yet there are still some questions about the best use cases for Kata Containers. How do they work with orchestrat …
Bit Index Explicit Replication - A stateless Multicast Architecture

Bit Index Explicit Replication - A stateless Multicast Architecture

February 3, 2020

In this session, we present Bit Index Explicit Replication (BIER), a new stateless multicast architecture that provides optimal multicast forwarding by imposing th …
How CLEVER is your neural network? Robustness evaluation against adversarial examples

How CLEVER is your neural network? Robustness evaluation against adversarial examples

February 3, 2020

Neural networks are particularly vulnerable to adversarial inputs. Carefully designed perturbations can lead a well-trained model to misbehave, raising new concerns about safety-critical and security-critical applications. Pin-Yu Chen offers an overview of CLEVER, a comprehensive robustness measure that can be used to assess the robustness of any neural network classifiers.