- What are the missing pieces? - What is the state of the Security WG ION work? - How to deploy the solutions in real devices. What to think about (licenses)?

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Kubernetes is a commonly used Container Orchestration Engine today. It is an open-source cloud platform for automating deployment, scaling, and operations of application containers across clusters of hosts. With Kubernetes, we can setup a container cloud platform in a short time. But Kubernetes still lacks some critical features that are important for a high performance containerized VNF in a typical NFV environment. To help address it, we put a lot job around this area, also pushed several patches into open source community. In this presentation, I will introduce and show the jobs that how to improve application performance, and IO throughput in Kubernetes. Key features are now available in Kubernetes to bring benefits for high performance cloud platform. Some of these enhanced features: 1, ‘Node feature discovery’ identifies hardware features and advertises them in Kubernetes 2, SRIOV CNI provides DPDK fast path networking for VNF 3, CPU Manger for Kubernetes delivers predictable network performance 4, Huge page management in Kubernetes enables the discovery, scheduling and allocation of huge pages as resource

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Please join us at 7pm in Grand Ballroom I+II of the Regal Airport Hotel. A traditional Chinese style dinner will be served along with beer, wine, and entertainment. If you plan to attend, **YOU MUST REGISTER** [**here**](https://www.eventbrite.co.uk/e/linaro-connect-gala-dinner-on-thursday-tickets-43589178406?utm-medium=discovery&utm-campaign=social&utm-content=attendeeshare&aff=escb&utm-source=cp&utm-term=listing) Please note: Vegetarians *must* pick up a card to place in front of their seat at dinner to alert servers of your meal preference. Vegetarian cards will be available for pickup at a table directly outside the Ballroom before the dinner begins. **Show team spirit at the Linaro Connect HKG18 Gala Dinner** If you're interested in pulling together a group of like-minded people to dress in a consistently unique manner, please email Kristine. If you need some ideas for group themes, check out this link. It can be as simple as all wearing the same color t-shirt, all wearing a unique hat or pair of sunglasses, or any other group theme you can think of! We will also be handing out 5 year service awards as well as recognition awards. See you there!

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In this talk, we will introduce the history and experience of processor customization and the evolution of Alibaba’s infrastructure, including our ARM64 processor evaluating technology, how ARM64 server brings the value to Alibaba based on the characteristics of applications. In the future, under the guidance of the Alibaba Group's new retail strategy, ARM64 server will have a good opportunity at edge and cloud computing.

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Native CI and CD pipelines for Arm The industrial revolution brought a wave of automation and standardization to manufacturing. The world of software is going through a similar revolution in the form of automated CI and CD pipelines. However, most of this innovation has been focused on x86, while Arm developers have had to jump through hoops to achieve similar productivity. This talk demonstrates how you can achieve CD natively on Arm and reduce friction in software delivery.

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As the earliest industry alliance based on ARM64, GCC is working on promoting the development of the green computing industry, conforming to the technological development trend of open source SW and open HW and bringing together the advanced global industrial chain resources. Linaro Hongkong Connect would be a good opportunity to introduce GCC to the industry, including establishment process, core work objectives and tasks, organizational structure and related business progress. We are looking forward to enhance the cooperation between GCC and Linaro in the future.

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Despite many respectable attempts made in past years, the IoT operating system market remains fragile as it emerges, which has been well recognized as one of major pains for the whole IoT community. AliOS Things, the little brother of Alibaba group’s OS product portfolio, is the new generation of IoT operating system dedicatedly designed to address the situation, which has been released in 2017 after years of internal development and already attracted lots of attention from the whole ecosystem since that. In my talk, I will give out the comprehensive introduction of AliOS Things, including its vision, design philosophy, target markets, ecosystems, and rich runtime and tooling feature set, and how it serves as an integrated piece of Alibaba group’s overall IoT strategy.

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Nowadays people connect into Internet by multiple kinds of devices. To identify and authenticate users correctly and easily is the fundamental capability of Internet service provider. Password is no longer the must-have way. Biometric authentications like fingerprint are much easier and enough secure. IFAA (Internet Finance Authentication Alliance ) is an alliance funded by Alibaba, Ant Financial, CAICT, Huawei, SAMSUNG, and ZTE. Now it has more than 150 members including ARM, Qualcomm, MTK, Vivo, Oppo, Spreadtrum, Xiaomi and so on. The IFAA standard based fingerprint authentication has been widely supported in all kinds of devices sold in China market. Take Alipay as an example, more than 170M users are using fingerprint to pay their orders, almost 35% of Alipay trades are now supported by IFAA standard.

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A session run by users for users of LAVA. Ask us.

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The performance and accuracy of Convolutional Neural Networks for visual recognition has reached the point where researchers generally consider them to be more accurate than traditional algorithmic approaches. In this session we will examine implementation of a Binary Neural Network (BNN) on an FPGA with embedded processing system demonstrating four orders of magnitude greater performance than a software implementation on an embedded processor. We will start with the basic concepts of Convolutional Neural Networks. Next, we will examine why FPGAs with embedded processors provide the necessary flexibility to accommodate network precision as well as varying number of neurons and layers. Finally, we will demonstrate a BNN running on a 96 board doing real-time traffic recognition at over 8,000 images per second.

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