performance

How to Utilize Performance Oriented big.LITTLE Solution on Automotive Usecase

How to Utilize Performance Oriented big.LITTLE Solution on Automotive Usecase

February 13, 2020

It required some tweaks to use big.LITTLE solution on performance sensitive system such as automotive usecase.Especially for the system built with upstream kernel due to no sched_util functionality st …
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 …
Building Data Pipelines with Open Source Cloud Services

Building Data Pipelines with Open Source Cloud Services

February 12, 2020

Following the first wave of cloud adoption, moving from private data centers and on-premises hosting to cloud infrastructure platforms such as AWS and GCP, we're now seeing a second wave of adoption w …
Comparing the Performance of Public DNS Resolvers

Comparing the Performance of Public DNS Resolvers

February 12, 2020

Will present performance comparisons between public DNS resolvers, both for IPv4 and IPv6 service. Performance comparisons are based on measurements taken from glo …
Lightning Talk: Global Traceroute

Lightning Talk: Global Traceroute

February 12, 2020

Global Traceroute (https://www.globaltraceroute.com) is a front-end to do traceroutes from RIPE Atlas probes, which means you can now do quick and easy traceroutes …
Comparing Next-Generation Container Image Building Tools

Comparing Next-Generation Container Image Building Tools

February 11, 2020

Until recently, running docker build against Dockerfile had been the only way to build container images. However, lots of opensource software are being proposed as successors/alternatives to `docker …
Speeding up Linux System Calls on the Power Architecture

Speeding up Linux System Calls on the Power Architecture

February 11, 2020

The system call is the gateway to the kernel. The kernel provides services to applications via system calls, like a library provides services via library calls. System call performance is important f …
Using Linux for Long Term - Community Status and the Way We Go

Using Linux for Long Term - Community Status and the Way We Go

February 11, 2020

Linux is now a default choice of services and products for the business. From Embedded devices, Cloud computing, Automotive, Industry systems and many others. Except for Linux and Open Source, We all …
Enabling Kubernetes Network Service Proxy with VPP and DPDK

Enabling Kubernetes Network Service Proxy with VPP and DPDK

February 10, 2020

Service proxy, as a distributed load balancer on source side, is one of the most important components for K8s container networking. The original user space mode implementation is flexible but suffers …
Learning from the web of life

Learning from the web of life

February 10, 2020

Imagine having millions of years of experience in developing and operating complex distributed systems? What if we could reverse-engineer nature's strategies for high-performance, resilient, and secure systems? From organisms to ecosystems, Claire Janisch explores some of the best biomimicry opportunities inspired by nature's software and wetware.
New data architectures for high performance netflow analytics

New data architectures for high performance netflow analytics

February 10, 2020

Operational analytic databases are a new class of data systems that are emerging to store and analyze various types of operational data, including netflows. Popula …
Browsers and Web Runtimes for Automotive: Alternatives, Challenges, and Current Status

Browsers and Web Runtimes for Automotive: Alternatives, Challenges, and Current Status

February 8, 2020

Automotive web browsers and web application runtimes have specific needs, compared to platforms such as mobile, STB/TV, desktop and other embedded devices. When building your own web middleware for a …
Flowspec for BGP Route Servers at IXPs

Flowspec for BGP Route Servers at IXPs

February 8, 2020

BIRD is a widely deployed software for BGP route servers at IXPs. The release of version 2.0.2 in March added support for BGP Flow Specification (RFC 5575). While …
Migration of an Enterprise UI Microservice System from Cloud Foundry to Kubernetes

Migration of an Enterprise UI Microservice System from Cloud Foundry to Kubernetes

February 8, 2020

The 40 Node.js microservices making up the IBM Cloud UI historically have been deployed as apps on Cloud Foundry (CF), an open source PaaS. But, recently, this enterprise microservice system has been …
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 …
Building the Global Open Software Platform for Fully Autonomous Vehicles

Building the Global Open Software Platform for Fully Autonomous Vehicles

February 7, 2020

Rapidly advancing SoC technologies are delivering unprecedented performance for fully automated cars and vehicles. Open Software platforms enable global collaboration and acceleration of innovation. A …
How Container Runtime Matters in Kubernetes?

How Container Runtime Matters in Kubernetes?

February 7, 2020

Container Orchestrator Kubernetes utilizes Container Runtime to provide low-level pod/container management and operations at the node level. The capabilities & performance of these Container runtimes …
Packet-Level Network Analytics without Compromises

Packet-Level Network Analytics without Compromises

February 7, 2020

Network analytics has been a key component of network management for decades. As we look to integrate more intelligence, whether for increased security or to bette …
"Multicloud" - the next generation cloud infrastructure

"Multicloud" - the next generation cloud infrastructure

February 6, 2020

So, what are data center networks really built for? Short answer "applications". Whether it is a public cloud provider, private enterprise, FSI or telco cloud - th …
360 Degree Vehicle Surround View in an Open Source Project: Libxcam

360 Degree Vehicle Surround View in an Open Source Project: Libxcam

February 6, 2020

Vehicle surround view is one of the key features in Advanced Driver Assistance Systems (ADAS). Several cameras are equipped around the car to capture the scenes outside. Conventional solution would bl …
Check to Performance of AGL New Vehicle Architecture

Check to Performance of AGL New Vehicle Architecture

February 6, 2020

In Vehicle have many Vehicle data interface and difficult to access Vehicle data. The definition of data is also various, such as the speed of the vehicle. AGL will provide a unified interface, unifie …
Serverless microservices at Fender Digital

Serverless microservices at Fender Digital

February 6, 2020

Fender Digitals service infrastructure is 100% serverless. The promises of serverless include reduced costs and simplified operations; the challenge lies in how to implement complex applications on a FaaS platform. Michael Garski shares best practices Fender Digital has established to optimize function performance and ensure observability.
An Empirical Study of an Advanced Kernel Tailoring Framework

An Empirical Study of an Advanced Kernel Tailoring Framework

February 5, 2020

Tailoring the Linux kernel may improve the security of a Linux distro by reducing the attack surface. Junghwan Kang introduced a kernel tailoring framework at OSSummit North America in 2017. The frame …
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 …
Business forecasting using hybrid approach: A new forecasting method using deep learning and time series

Business forecasting using hybrid approach: A new forecasting method using deep learning and time series

February 4, 2020

Business forecasting generally employs machine learning methods for longer and nonlinear use cases and econometrics approaches for linear trends. Pasi Helenius and Larry Orimoloye outline a hybrid approach that combines deep learning and econometrics. This method is particularly useful in areas such as competitive event (CE) forecasting (e.g., in sports events political events).
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 …
How artificial intelligence is changing advertising in China: A conversation with Bessie Lee and Ching Law

How artificial intelligence is changing advertising in China: A conversation with Bessie Lee and Ching Law

February 3, 2020

Advertising in China is on the frontline of AI adoption and innovation. Join Bessie Lee and Ching Law for a conversation on how AI is changing advertising. You'll hear how China's white-hot AI advertising applications can serve as roadmaps and spark ideas in other industries and how companies like Tencent are improving performance by leveraging AI technology.
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.