2023 Akraino Spring Summit

Keynote Sessions

18:00 – 19:30 PDT (UTC-7)
21:00 – 22:30 EDT (UTC-4)
03:00 – 04:30 CEST (UTC+2) (Wednesday)
09:00 – 10:30 CST (UTC+8) (Wednesday)

Welcome note – Jim Xu (Deactivated)  , TSC Chair

                            Yin Ding , TSC Co-Chair

Topic：Predicting and Optimizing Food Factory Environments by Akraino CPS Robot blueprint family

inoue , Fujitsu

Abstract:

This presentation provides an example of applying LF Edge Akraino "Robot basic architecture based on SSES Blueprint" to a food factory. In food factories, the ambient temperature often affects the completion of products. In particular, in the production of bean curd skin "yuba", a traditional Japanese food, temperature is an important factor. Because heat denaturation of soy protein is utilized. However, food factory needs to take outside air to prevent high-humidity and condensation by cooking heating. As a result, the temperature becomes unstable. Therefore, it is a problem to predict and control the temperature change in the food plant. To solve this problem we used the Blueprint to build a sensor network and analyze data to create a temperature prediction model for the factory based on past outdoor temperatures and temperatures in the factory.

Topic：AI + Sustainability on Supermicro

Tina Tsou, Arm & Roger Chen, Supermicro

Abstract:

As the world faces unprecedented challenges in the form of climate change and environmental degradation, the use of artificial intelligence (AI) and other cutting-edge technologies are being explored to promote sustainable development. In this session, we will discuss how Supermicro and Ampere Computing, a leading provider of cloud and edge computing solutions, are leveraging AI to address sustainability challenges. The session will cover a range of topics, including Supermicro's and Ampere's AI-enabled solutions for energy-efficient data centers, sustainable agriculture, and smart transportation. We will explore the role of AI in improving energy efficiency, reducing carbon emissions, and optimizing resource usage. Additionally, we will discuss the use of AI in promoting circular economy models and reducing waste. Experts from Supermicro and Ampere will share insights on their innovative solutions and how these can be applied to address sustainability challenges across industries. The session will also include a Q&A session to facilitate discussion and encourage the exchange of ideas. Overall, the session will provide a unique opportunity to learn about the intersection of AI and sustainability and how Supermicro and Ampere are driving innovation to promote a more sustainable future.

Akraino White Paper: Akraino Platform Security Architecture

Daniil Egranov, Arm & Akraino Security Sub-Committee

Abstract:

During Akraino blueprint development, blueprint owners may put a lot of effort into analyzing security threats and implementing security features in their projects. However, in many cases, blueprint owners assume that the blueprint execution environment is well protected and does not require their attention. Such assumptions may lead to attacks using platform-level vulnerabilities that interfere with the blueprint functionality and cause the loss of private or critical data. For this reason, the requirements for platform-level security should be considered an important part of blueprint requirements.

The Akraino Platform Security Architecture Whitepaper describe core security requirements for Akraino platforms and blueprint execution environments.

Slides:

Topic：Introduction to  CPS Robot Blueprint Family

Haruhisa Fukano , Akraino TSC member, Fujitsu

Slides:

Topic：Engineering Training Platform: Enhancing Education through AI-Powered Solutions and Open Source Technologies

Miguel Amigot, CTO, ibleducation.com

Abstract: 

In today's rapidly evolving world, the need for effective and innovative educational platforms is more important than ever. In this conference talk, we will explore how the Akriano community can leverage state-of-the-art artificial intelligence (AI) solutions and open source technologies to build an engineering training platform that is not only effective and efficient but also ensures data privacy and ownership. Some of the key points that will be covered include:

1. Utilizing large language models, such as ChatGPT, to develop AI-powered mentors and assistants that can provide 24/7 support for students, instructors, and customer support.
2. Ensuring data privacy through on-premise implementation and utilizing embeddings to preserve data ownership.
3. Integrating multiple communication channels, including chat, audio, and video, for versatile and comprehensive learning experiences.
4. Sharing examples of diverse use cases, including teaching assistants, student success, instructor support, customer support, and prescriptive analytics.
5. Building an AI-driven lifelong learning platform using open source technologies like Open edX, Apache Kafka, and more to prevent vendor lock-in and foster innovation.
6. Managing learner data and empowering educators with time-series based learning analytics and large language model-driven support.
7. Harnessing expert knowledge from organizations like NVIDIA, Tesla, NASA, IBM, DoD, and MIT to ensure a successful implementation of the proposed engineering training platform.

Join us as we delve into how the Akriano community can revolutionize engineering education using AI-driven solutions and open source technologies. Together, we'll explore the potential to enhance learning outcomes for students and engineers, while maintaining control over data and resources.

Topic: Smart Data Transaction for CPS Blueprint

Colin Peters Fujitsu

Abstract:

Smart Data Transaction for CPS is a blueprint seeing its second release as part of Akraino Release 7. In this talk the PTL of the blueprint introduces its features and what's new in Release 7.

Slides:

Title: Advanced Backplane Technologies for Integrated Edge Cloud: Exploring PCIe, Ethernet, and Beyond

Abstract:

The rapid growth of edge computing and the ever-increasing demand for low-latency, high-performance applications have underscored the critical role of advanced backplane technologies. These technologies enable seamless integration of edge cloud infrastructures, ensuring optimal performance and reliability in a wide range of use cases. In this paper, we delve into the latest advancements in backplane technologies, particularly focusing on PCIe and Ethernet, and their applications in integrated edge cloud systems and beyond.

We start by identifying the specific problems that need to be addressed for integrated edge cloud systems, considering the constraints imposed by the cluster size and numbers. Traditional scale-out technologies, such as increasing switch port density, are not suitable for integrated edge cloud systems due to the limited number of servers. As a result, integrated edge cloud systems for small-sized networked clusters require new networking approaches, efficient management, cloud-native architecture, and cost-effective solutions.

Next, we present our proposed solution for a purely PCIe-based backplane networking system, as introduced in our R6 research. Following this, in our R7 research, we discuss an Ethernet implementation for integrated cloud systems. We provide details on the connections and hardware design for both solutions, highlighting their advantages and drawbacks.

Finally, we explore the potential benefits of utilizing the Universal Chiplet Interconnect Express (UCIe) in backplane technology for integrated edge cloud systems. We discuss the opportunities and challenges this approach presents and consider the implications of UCIe adoption in the future development of backplane technologies for integrated edge cloud systems.

In conclusion, advanced backplane technologies, particularly those based on PCIe and Ethernet, are essential for the seamless integration of edge cloud infrastructures. As edge computing continues to evolve, further research and innovation in backplane technology will be instrumental in unlocking new possibilities and pushing the boundaries of what can be achieved in integrated edge cloud systems and beyond.

Closing remarks – Jim Xu (Deactivated)  , TSC Chair

Opening: Linux Foundation Edge: Ecosystem and Practice

主题：Linux基金会边缘计算生态和实践

Speaker：Tina Tsou, LF Edge Chairman of the Board, Director of Arm Infrastructure Ecosystem Tina Tsou (Deactivated)

Topic: Transforming the Edge to a Virtual Cloud, and Practice on automobile, enterprise and factory

主题：基于边缘计算的虚拟云服务器，车载、企业、和工厂的实践

Speaker: Moshe, CEO of AnlyLog Moshe Shadmon 

Topic: China Unicom's researchs on  co-construction & sharing of 5G MEC

Dr. Chen Gao, China Unicom Research Institute

Abstract: In this session, we provide a concise overview of the GMSA Operator Platform (OP) concept and the associated MEC Federation as adopted by ETSI ISG MEC. We explore the development of a versatile edge cloud by examining and summarizing how the critical technologies of OP can be applied to facilitate the collaborative construction and sharing of 5G MEC within China Unicom.

嘉宾：Gao Chen, Senior Engineer at China Unicom gao chen 

Topic:  KubeEdge Deep Dive: Architecture Design and Application Practice

Speaker: Yue Bao，Huawei Yue Bao 

Abstract：KubeEdge is built upon Kubernetes and extends native containerized application orchestration and device management to hosts at the Edge. It applies many advantages of cloud-native to edge computing and now is CNCF's only incubation-level cloud-native edge computing project. This presentation will introduce the architecture design and core technologies of KubeEdge in detail. We will also lead you to review the development history of the KubeEdge community. Finally, this presentation will introduce several typical production and implementation cases of KubeEdge in scenarios such as intelligent transportation, CDN, and vehicle-cloud collaboration. 

主题：云原生边缘计算平台KubeEdge架构设计与应用实践

嘉宾：鲍玥，华为高级工程师

摘要：KubeEdge基于Kubernetes构建，并将原生的容器化应用编排和设备管理扩展到边缘主机。它将云原生的许多优势应用于边缘计算，现在是CNCF唯一的孵化级别云原生边缘计算项目。本次演示将详细介绍KubeEdge的架构设计和核心技术。我们还将带领您回顾KubeEdge社区的发展历程。最后，本演示将介绍KubeEdge在智能交通、CDN和车辆云协作等场景中的几个典型生产和实施案例。

Panel (with CAMARA): Monetization of Telcos Edge Cloud

Abstract: We've been exploring ways to leverage the business potential of edge cloud technology. Following the conclusion of MWC 2023, the topic of capability exposure has become increasingly important.  More than 18 use cases burst out on MWC, and 21 operators have signed MoU.  All these indicate that global operators are seeking a new way to generate revenue from edge cloud solutions. As a result, we have redirected our attention towards the potential for telecom edge cloud monetization. Akraino has a history of collaborating with other communities at edge in an open and friendly manner. In this panel, we will invite experts from both operators and vendors to jointly discuss the exposure of edge capabilities and the synergy between Akraino and CAMARA.

zhuguanyu  @Shuting Qing gao chen Fu Li 

摘要：我们从未停止对电信边缘云商业变现的探索。MWC 2023结束后，能力开放话题升温，最近签署的Open Gateway MoU也表明全球运营商正在寻找边缘云商业变现新方法。这都让我们聚焦电信边缘云商业化潜力。Akraino在边缘计算领域和其他社区向来保持了开放友好的协同关系，本次Panel，我们邀请了多位运营商和厂商的专家，来一起探讨边缘计算的能力开放与Akraino和CAMARA可能的协同等话题。

嘉宾：朱管瑜，卿舒婷，华为云化网络开源生态专家；Gao Chen, 联通高级工程师；李甫，Akraino TSC

Lunch

Visit China Speech Valley

参观中国声谷技术展厅