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Akraino Displays Robotics Blueprint at ONE Summit 2022

By Akraino, Blog, Event

By Jeff Brower, CEO at Signalogic & LF Edge community member

At the ONE Summit (ONES) in Seattle in November, the Linux Foundation Edge community (LF Edge) presented state-of-the-art edge computing in areas of Telco, Oil & Gas, Manufacturing, and Retail. The Akraino blueprint “Robot Architecture Based on SSES” was selected by the LF Edge conference showcase committee to exhibit in the Manufacturing category. This blueprint is architected by Fujitsu and focuses on two key areas in robotics:

  • manipulating elastic and non-uniform objects with variable shapes and surfaces, under variable environmental conditions
  • safe and reliable robot-human interaction


Fujitsu and Signalogic personnel manned the Manufacturing kiosk and we’re happy to report the exhibit was well-attended and effective. While we didn’t see a pre-pandemic level of attendance (maybe half compared to 2019), that was made up for by enthusiasm and energy of attendees and exhibitors. It was a great feeling driving into Seattle on a cold but sunny day, negotiating the city’s notoriously gnarly freeway design and traffic, arriving at the Sheraton, and then focusing 100% on presenting LF Edge, Akraino, and robotics to technical
and business developers ! We can confidently report that in-person conferences are back and thriving.

As it turns out, the conference format was effective for promoting robotics as well as Akraino and LF Edge. As one example, our blueprint’s project team leader, Fukano Haruhisa-san from Fujitsu’s development labs, gave a technical presentation in the early afternoon of Day 1.
Then later in the day, while dinner was served near the exhibit area, attendees who had attended Fukano-san’s presentation zero’d in on our kiosk. They had been busy juggling their conference schedule, but now they had questions and were ready to dig deeper. That was also our chance to promote LF Edge and Akraino. Naturally we took full advantage 😀

Customer discussions at the kiosk were both wide ranging and in-depth. Of particular concern is how to merge requirements for compute intensive onboard processing (i.e. on the robot) with cloud processing. There is a mix of needs, including mapping, handling unusual and as-yet-unknown objects, failure prediction, real-time speech recognition, background noise removal, natural language processing, and more.  Some needs can be met in the cloud, and some demand “never down, never out” capability. The former can be met with containerization, Kubernetes, and other CICD and automation tools, while the latter requires intensive onboard computation. Of course, any onboard computation faces severe limitations in size (form-factor), weight, and available power. It’s a fascinating problem in edge computing and engineering tradeoffs.

Given the effectiveness of the ONE Summit format, I strongly urge the LF Edge board to organize and promote more combined technical + exhibit events. The exhibit component does two important things: (i) encourages effort and progress among blueprint participants, and (ii) provides feedback to shape and guide blueprints moving forward. A little pressure to meet conference schedule deadlines and get demos working is a good thing, and the payoff for LF Edge is increased industry exposure for its member projects.

2022 LF Edge Annual Report – Update from the General Manager

By Blog, LF Edge

Launched four years ago, LF Edge has become the center of gravity for some of the most impactful open source edge computing projects in the world, building an open, modular framework for edge computing. Check out the section below on the 2022 LF Edge Annual Report update from Arpit Joshipura, General Manager, Networking, Edge & IoT at the Linux Foundation.

LF Edge community members meet and collaborate in-person at ONE Summit 2022

Entering its fourth year as an umbrella project, LF Edge continues to grow and thrive, with more and more deployments and use cases across the globe and across verticals, from Telco, to Smart Home, to Industrial IoT, to AI, Robotics, and more. Check out the section below on the 2022 LF Edge Annual Report update from the LF Edge Board, written by Tina Tsou, Enterprise Architect, Arm and LF Edge Governing Board Chair.

As we enter into 2023, I wanted to take a moment to reflect on the great progress made as a community last year. Although we’re learning to live with a global pandemic, an uncertain economy, and more colorful geopolitical issues, all of these challenges didn’t slow down the growth of open source communities; with more innovation, and integration across verticals as the industry marches towards digital innovation.

One of the things that makes me most proud of LF Edge project is the fact that the community did not miss a beat in our work-from-home virtual world. In 2022, the number of LF Edge contributors increased by 138%, with an average of 1,120+ contributors per year. With 65+ members and 25%+ year-over-year membership growth, more and more organizations have joined LF Edge’s mission of unifying and providing edge computing projects, IoT frameworks and solutions/blueprints to serve the needs of Telecom Edge, Cloud Edge, IoT Edge, Industrial IoT Edge, Enterprise Edge markets, and more.

I wanted to also take a moment to look ahead to 2023, as well as recognize how the edge industry has shifted over the past year. 2022 was the tipping point for 5G, Edge & IoT deployments, all possible with Open Solutions, Open Collaboration and Open Communities. This year, the global collaboration in open source projects (including LF Edge) is better than ever. Our community has worked collaboratively across geopolitical and macroeconomic headwinds, which we intend to continue in 2023.

I’d like to close by thanking our entire community and ecosystem of members, developers, partners, and users. I hope to see more in-person or virtual collaboration happen in LF Edge this year. Here’s to a fantastic 2023 as we build the last cloud together — the edge!

Read the full 2022 LF Edge Annual Report, with community highlights from all LF Edge projects, TSC Chair, General Manager, Outreach Chair, and more.

2022 LF Edge Annual Report – Update from the LF Edge Board

By Blog, LF Edge

Entering its fourth year as an umbrella project, LF Edge continues to grow and thrive, with more and more deployments and use cases across the globe and across verticals, from Telco, to Smart Home, to Industrial IoT, to AI, Robotics, and more. Check out the section below on the 2022 LF Edge Annual Report update from the LF Edge Board, written by Tina Tsou, Director Infrastructure Ecosystem at Arm and LF Edge Governing Board Chair.

In-person LF Edge Board meeting at ONE Summit 2022

A warm welcome to 2022’s newest LF Edge members: Y-Semi, Emerson, Qianyi, and XUAT — thank you for joining us this year. We hope to develop strong bonds with all our new members as we continue working together.

I’d also like to congratulate all of our individual project communities (Alvarium, Akraino, EdgeX Foundry, eKuiper, EVE, Fledge, HomeEdge, SDO) for the progress made this year. We’ve seen more and more realworld deployments across a diverse set of use cases (including blueprints to address Robotics, Smart Data, OT, Metaverse, 5G, and Education & Healthcare, among others) and improvements to functionality, security & data privacy, connectivity, and more.

One of the community’s biggest accomplishments in 2022 is the LF Edge Industry Solution Showcase, which debuted onsite ONE Summit in November. The event returned to an in-person format and we had the opportunity to showcase eight project demonstrations within the LF Edge booth kiosks, focused on specific verticals: Oil & Gas, Manufacturing, Telc, and Retail. This is the first step in highlighting LF Edge’s mainstream deployments across a broad spectrum of organizations and communities. 2023 will be even better, with more details on the myriad of ways LF Edge can enhance edge computing. None of this could be possible without member companies, developers, users and the LF Edge staff.

  • Member companies have been generously providing resources to run a shared community lab, CI/CD, and community activities –including hackathons, developer events and project mini summits.Big thanks to all who helped fund this important work across the board and helped make our projects stronger.
  • We also give thanks to developers working hard within and across LF Edge. We would not exist without our dedicated and passionate developers, who are the glue that binds our project communities together.
  • LF Edge Sub-committees. The collective efforts of the LF Edge Strategy Planning Committee (SPC), Technical Advisory Committee (TAC), and Outreach Committee yielded needed updates to LF Edge Project Lifecycle Description and Criteria, the creation of the Industry Solution Showcase; and the growing amplification of use cases and deployments.

With the rise of IoT, 5G/6G, AI, and Metaverse, Edge is at the precipice of leading technology innovations. The practical application of Edge Cloud in more industries and scenarios will become mainstream; the work of this community is paramount in setting the stage for scalable development of open source Edge technology and standards. We expect many opportunities (and some challenges) in 2023 and I am confident in the power of this strong community to continue playing a key role in Edge innovation.

Read the full 2022 LF Edge Annual Report, with community highlights from all LF Edge projects, TSC Chair, General Manager, Outreach Chair, and more.

Leaders in LF Edge: Interview with Joe Pearson

By Blog, LF Edge

According to STL Partners, the total edge computing addressable market will grow from $10 billion in 2020 to $543 billion in 2030 at a compound annual growth rate of 49% over the 10-year period. As edge computing becomes a significant revenue opportunity for the technology and telecom industries, it’s even more important to have effective leaders to advance the future of the edge computing industry.

Today we sat down with Joe Pearson, LF Edge Technical Advisory Council (TAC) chair and Edge Computing & Technology Strategist at IBM. Joe tells us how he got involved in the edge computing industry and why leaders must plan for the growth of IoT and edge.

How did you get involved in the LF Edge community and what is your role now?

Thank you for this interview. I work at IBM for Rob High, an IBM Fellow and CTO of Software Networking and Edge Computing. Rob clearly saw two key points many years ago: that edge computing was going to be one of the next areas of innovation and opportunity, and that the best way to ensure widespread adoption would be through foundational edge computing components being released as open-source. This coincided nicely with the Linux Foundation bringing together existing edge computing projects and culminating with the launch of LF Edge in January 2019. I was fortunate to be involved from the beginning and worked with early pioneers in this space through LF Edge’s Technical Advisory Council (TAC).

Fast forward to 2022 and after incubating and launching one project, and being TAC Sponsor for two others, I was voted into the position of Vice-Chair of the TAC.  After serving under the leadership of Jim St. Leger I was recently elected to succeed him as TAC Chair. I also concurrently serve as Chair of the Open Horizon project’s Technical Steering Committee (TSC) within LF Edge.

What is your vision for the edge computing industry? Tell us briefly how you see the edge market developing over the next few years.

Wow.  Please note that I don’t have a crystal ball, and any insight I may have comes from personal observations and the informed opinions of those I trust. I do not speak on behalf of my employer.

I’ll answer those questions in reverse order. Edge computing, especially within open-source, is on the cusp of maturing. That means that we will see re-grouping as some efforts fail to meet expectations. There will be some consolidation in this space. And leading solutions will begin to emerge over the next six to twelve months. Based on that outlook several outcomes will likely happen and it’s my intention that LF Edge and Linux Foundation-hosted projects are involved and at the forefront.  

First, we need to show how LF Edge projects working together can solve both current and future business needs in the following ways: 

  • reducing solution implementation time-to-value by leveraging existing cloud-native tooling and standards, 
  • aiding in application modernization efforts by serving as the foundational framework for cloud-agnostic edge deployments with easily-swappable components,
  • discouraging vendor lock-in by creating and supporting industry and de-facto standards,
  • supporting hardware heterogeneity by promoting and using edge-native development and pipeline creation best practices,
  • demonstrating all of the above with freely-available source code using software licenses that respect contributor intellectual property in order to encourage both community participation and framework adoption.

Second, we need to lead the way in creating, documenting, using, and promoting standards and specifications that enable a healthy and open edge computing ecosystem. A shining example of this is how many LF Edge projects have embraced the FIDO Device Onboard Specification 1.1 for automated, zero-touch device and application deployments.

Third, we’d like to encourage all educational institutions, governments, enterprises, and other organizations to work with us to help shape the open edge computing framework to best meet their needs and requirements.  They can do this by working within individual project communities, by joining LF Edge as Premier, General, or Associate members, and/or by helping to create and run End User Solution Groups.

By working together towards those goals, we can prevent the proliferation of walled gardens and competing incompatible solutions that have prevented equitable cloud growth over the last decade and stifled greater potential innovation.

What impact do you see open source playing in the evolution of the edge market? And how has it shaped where we are today?

Without open-source, all we would have is vendors offering a series of proprietary ecosystems competing with each other to lock customers in. Further, there would be fewer incentives for collaboration between the larger players. Essentially, open-source prevents the edge computing market from being a zero-sum game and ensures portability between vendor solutions. It also levels the playing field between larger and smaller entrants while encouraging innovation at an increased rate. This is one of many reasons why you’ll see revolutionary advancements and experimentation happening in edge computing that just weren’t possible in cloud computing.

With open-source edge computing standards and specifications, we’re beginning to see OEMs and ODMs realizing the benefits of supporting an open approach while enabling competing solutions to emerge. This means fewer licensing fees, not as many unique SKUs needed, and working with communities and standards bodies. Now we still have a ways to go towards generating the critical mass of support that we need in the market, but we’re slowly getting there.

Why is LF Edge important to advance the future of edge computing?

LF Edge is certainly not the only organization involved in edge computing open-source software development. There are many other fine organizations, including our friends in both the Eclipse Foundation and the Apache Foundation. They each have slightly different approaches and governance structures, but our aims are compatible.  

What LF Edge brings that is different from the others is the scale, maturity, and track record of the Linux Foundation itself and the sheer number and variety of organizations already working together within the LF Edge organization and with its projects. This critical mass makes it simpler for both startups and established enterprises to invest time and effort in a single foundation for maximum reach and influence. And the expertise of other groups within the Linux Foundation are being leveraged to make significant strides that may not have otherwise been possible. For example, the OpenSSF best practices are not only helping LF Edge projects to address current security issues on the edge, but they’re also enabling innovation in critical new features like SBOM support.

But arguably more important than that is the promise that LF Edge does not play favorites when it comes to collaboration. Towards that end, the Eclipse Foundation has joined LF Edge as an Associate member and LF Edge projects are exploring opportunities to work together with Eclipse projects to create joint solutions in areas such as Industry 4.0 and Software Defined Vehicles.

What advice do you give to organizations who want to get involved in the LF Edge community?

Make sure that your organization has a clear idea of what vertical(s) you are targeting, who your customers are, and what you are trying to achieve. With those items clearly defined, it becomes much easier to determine which projects to work with initially, and what value you can bring to the community.  

Don’t expect the existing member companies to do the heavy lifting on your behalf.  Instead, think about how your involvement can benefit everyone. And be prepared to contribute resources to help efforts succeed, even if your organization may not see an immediate direct benefit. For example, Intel seeded the initial funding for mentorship stipends within LF Edge, and helped more than eight college students to each spend a semester studying directly with industry mentors and working on important features in LF Edge projects over the last few years.

And be prepared to work together with the other members knowing that each member individually may not always achieve the goals of their organization, but as long as we continue to advance the goals of LF Edge we’re still making forward progress.

About LF Edge:

LF Edge is an umbrella organization to establish an open, interoperable framework for edge computing independent of hardware, silicon, cloud, or operating system. With the support of 29 Premier members, 28 General members and 14 associate members, LF Edge hosts 11 projects including Akraino, EdgeX Foundry, Project EVE and more.

Advance the future of edge computing with LF Edge and become a paying member.

LF Edge Members Explores How Edge Computing and 5G Can Help Decarbonize Power Networks

By Blog, In the News

“The future is electric. In order to keep up with the shift to dynamic, distributed power generation, energy grids need to embrace IT advances like automation and artificial intelligence, together with edge computing and high capacity, ultra-low latency data Communications.” 

– Remarkable Energy Starts at the Edge Report

LF Energy, our sister organization, has featured the new report from Dell and Intel entitled “Remarkable energy starts at the edge”. The report dives deep into what sustainability means in an energy-hungry world and how “edge computing and 5G can help decarbonize power networks”. Project like Fledge helps developers build smarter, better, more cost effective industrial manufacturing solutions to accelerate Industrial 4.0 adoption.

You can learn more about the report on the LF Energy blog and join organizations like Dell, Intel and more to shepherd the Fourth Industrial Revolution. 

Leaders in LF Edge: Interview with Tina Tsou

By Blog, LF Edge

According to Gartner, more than 50% of enterprise-managed data will be created and processed outside the data center or cloud by 2025, with an increase of  over $500 billion in the edge computing market by 2030. As edge computing becomes a significant revenue opportunity for the technology and telecom industries, it’s even more important to have effective leaders to advance the future of the edge computing industry.

Today we sat down with Tina Tsou, LF Edge Governing Board Chair, and Director, Infrastructure Ecosystem at Arm. Tina tells us how she got involved in open source, the edge computing industry, and why leaders must plan for the growth of IoT and edge.

How did you get involved in the LF Edge community and what is your role now?

I have been involved in the Akraino project specifically since 2018 before the LF Edge umbrella organization was formed in 2019. My role was Akraino Technical Steering Committee (TSC) Co-Chair, and later Akraino TSC Chair, LF Edge Technical Advisory Committee (TAC) member, and then most recently, I was elected Chair of the LF Edge Governing Board. I help the LF Edge community from both a technical and governance standpoint. 

What is your vision for the edge computing industry? Tell us briefly how you see the edge market developing over the next few years.

From the perspective of edge cloud technology development, edge cloud technology must not only conform to the technical route of cloud computing development, but also meet edge innovation services and new requirements of the scene. This places high demands on the software and hardware of edge cloud technology. Overall, “converging” technology and “collaboration” technology will become the core of edge cloud technology development.

In terms of computing technology, computing power virtualization technology is gradually developing towards the edge cloud-native direction at the edge. It’s the development direction of converged computing technology.

In terms of network technology, hyper-converged network architecture is the main trend of edge networks.The trend of integration of network technologies is developing towards the direction of cloud-network integration.

In terms of storage technology, distributed “cache” technology will gradually become the mainstream of edge cloud storage technology. The group ensures the security, reliability, redundancy and backup requirements of data storage, and also meets the timeliness and periodic requirements of data read and write.

In terms of edge management and control technology, the unified management and control technology will continue to be upgraded, and at the same time, a perfect hierarchical management system will be established between the center and the edge. A control mechanism is used to realize the coordination and unification of edge clouds at the resource and business level.

In terms of edge hardware infrastructure technology, with the introduction of heterogeneous devices such as smart network cards, GPUs, and NPUs, edge hardware will support the integration of a large number of heterogeneous devices in the future. At the same time, in order to meet the customization requirements of edge scenarios, there will also be Lots of custom equipment.

As technology evolves, so does standard placement and work. With the gradual improvement of edge cloud industry standards, general requirements such as related term definitions and basic service capabilities in the field of edge cloud technology are also improved. At the same time, standards are gradually regulating the development of edge cloud technology and services. In the future, the industry will continue to promote the standardization process of edge cloud: edge cloud hardware, focusing on edge cloud hardware for scenario-based applications (cloud games, cloud applications, codecs, bare metal, etc.), edge cloud all-in-one machines, etc.; edge cloud platform services In terms of edge cloud management and control, the focus is on edge cloud management, automated operation and maintenance, global scheduling, etc. In terms of edge cloud applications, the focus is on the edge for industries and application scenarios. Cloud services (government, industry, audio and video, etc.), etc.

In the future, with the continuous evolution and development of edge cloud technology and standards, it will promote the practical application of edge cloud in more industries and scenarios, and expand cloud services. It can help the distributed and ubiquitous development of computing power, and accelerate the digital transformation process of various industries.

What impact do you see open source playing in the evolution of the edge market? And how has it shaped where we are today?

Open Source collaboration helps to drive standards, differentiation versus innovation with benefits. Open source helps to remove vendor lock-in and enable automation, speed of innovation and deployment. Successful open source development depends on the complete life cycle of projects, products that the market can adopt and deploy. 

Using open source best practices, LF Edge enables communities to leverage CI/CD infrastructure. 

Closed Innovation

  • The smartest people work for us
  • We must build it ourself
  • We can get to market first
  • Controlling R&D is our path to growth
  • Controlling our IP helps limit competition

Open Innovation

  • We work with smart people everywhere
  • It takes an organized community to build it
  • Building better matters more than being first
  • We don’t have to originate all the research
  • We profit from others and others profit from us
Why is LF Edge important to advance the future of edge computing?

In the Connected Vehicle Blueprint (CVB) project, we established a collaborative architecture between the central cloud and the roadside MEC computing unit through the following architecture:

The real-time video of the road is obtained through the camera on the roadside, and the image AI processing work is carried out in the roadside MEC to achieve the goal of the road.

Monitoring and tracking, scene recognition and traffic abnormal scene judgment in the central cloud, early warning through 5G and V2X message distribution.

During the Winter Olympics, based on some technical achievements of the vehicle-road collaboration in the CVB project, Tencent and China Unicom created a 5G vehicle-road coordination full-link travel service. Before traveling, you can use the car-hailing service to book an online car-hailing service that supports vehicle-road coordination.

During the travel process, the vehicle-road coordination service provides the user’s vehicle with a traffic warning service. After reaching the destination, the car provides automatic parking services based on vehicle-road coordination.

What is Arm’s role in edge computing and LF Edge?

Arm is a leading contributor in the LF Edge Catalog to reduce friction to deployment of LF Edge Templates, and provide a centralized location for all deployable Templates (Template = software + configuration). The catalog provides recipes for deploying templates. 

Arm leads System Security on the Edge aspects. 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 PSA, Platform Security Architecture, defines core security requirements for Akraino platforms and blueprint execution environments. Akraino PSA requirements are platform agnostic and define security requirements for platform hardware and system software. Arm developed a Platform Abstraction Interface, made available to Akraino blueprints, to securely access the platform’s runtime services and secure devices.

Arm is also a leading contributor of the Akraino blueprint family, ” Project Cassini for a Cloud Native Edge,” This BP family provides a common API for hardware security and cryptographic services in a platform-agnostic way, helping to keep workloads decoupled from physical platform details,  which then enables cloud-native delivery flow within the data center and at the edge.

What advice do you give to organizations who want to get involved in the LF Edge community?

If you are a deployer, and you think about your specific use case, come to LF Edge to navigate which project you feel like to get involved in. Solution Showcase will give you ideas you want to deploy for Telco, Energy, or Retail, etc.

If you are a developer, you want to figure out whether you want to apply multi-cloud multi-tenancy in vRouter, using Tensung Fabric, or just want it to integrate MindSpore to KubeFlow on KubeEdge? LF Edge has a wide spectrum for developers to play, join our slack channel, and ask any questions.

About LF Edge:

LF Edge is an umbrella organization to establish an open, interoperable framework for edge computing independent of hardware, silicon, cloud, or operating system. With the support of 29 Premier members, 28 General members and 14 associate members, LF Edge hosts 11 projects including Akraino, EdgeX Foundry, Project EVE and more. 

Advance the future of edge computing with LF Edge and become a paying member

LF Edge in 2022 – A Sneak-Peek at Cumulative Innovation in the Open Edge

By Blog, LF Edge

Edge Computing — as defined by the 2021 State of the Edge Report — is the delivery of computing capabilities to the logical extremes of a network in order to improve the performance, security, operating cost and reliability of applications and services. As a natural extension of cloud computing — and estimated by analysts to be at least four times the size of cloud computing — the edge cloud construct is increasingly viewed as a key enabler for the “Fourth Industrial Revolution” in which the widespread deployment of IoT, the global sharing economy, and the increase of zero marginal cost manufacturing deliver unprecedented communication-driven opportunities with massive economies of scale.

Now in its third year as an umbrella organization, LF Edge has become the center of gravity for some of the most impactful open source edge computing projects in the world, building an open, modular framework for edge computing. LF Edge’s common governance and collaborative resources unify open the edge market, with massive global industry support accelerating the adoption and deployment of edge applications across sectors verticals, including  Telecommunications, Cloud, IoT, Industrial IoT, Retail, AI/ML, Factory Floor, Smart Home, and more. 

As data gravity continues to shift away from the centralized cloud to a distribution from edge to cloud, organizations of all types benefit from edge computing, yielding lower latency, reduced bandwidth costs, and maximized security and privacy; it means the work of LF Edge is more crucial than ever. Key impacts of LF Edge in 2022 are evidenced by both the project’s tenet publications, and a robust set of new use cases in deployment. Highlights include:

  • At the Olympic Games Beijing 2022, Tencent collaborated with China Unicom and created a multi-access edge computing (MEC) platform to track and analyze real-time traffic data, based on Akraino’s Connected Vehicle Blueprint.
  • Project Alvarium is providing trustworthy sustainability reporting and validated carbon emission measurements for organizations that are accurately tracking their carbon footprint.
  • UC Davis and Opus One uses Fledge to create safer wine-making conditions via multi-node wireless sensor network to produce world class wine.
  • Open Horizon components were leveraged in the Mayflower Autonomous Ship, which successfully sailed across the Atlantic ocean unmanned. 
  • Retailers use EdgeX Foundry to combine POS, RFID, Weight Scale and Computer Vision data to alert associates in real time, improving self-checkout efficiency and saving costs.  
  • A hiker used Fledge to collect temperature, humidity and air quality data while hiking on the beautiful Laugavegur trail in Iceland.

The complete annual report will include a culmination and summary of the many works done by the broader LF Edge community. It’ll be available in January 2023. Stay tuned! 

Congratulations to “Team DOMINO,” Winner of the 2022 ETSI & LF Edge Hackathon

By Akraino, Blog

The 2022 Edge Hackathon, supported by ETSI and LF Edge, concluded last month with 15 teams worldwide building Edge applications or solutions with ETSI Multi-access Edge Computing (MEC) APIs and LF Edge Akraino Blueprints. A team from LF Edge member organizations  Equinix and Aarna Networks—codenamed Team DOMINO—won first place in the Edge Hackathon for their innovative edge application in 5G scenarios using the Akraino Public Cloud Edge Interface (PCEI) blueprint.

The Akraino PCEI blueprint enables multi-domain infrastructure orchestration and cloud native application deployment across public clouds (core and edge), edge clouds, interconnection providers and network operators.

By using the PCEI blueprint, Team DOMINO’s solution demonstrates orchestration of federated MEC infrastructure and services, including 5G Control and User Plane Functions, MEC and Public Cloud IaaS/SaaS, across two operators/providers (a 5G operator and a MEC provider), as well as deployment and operation of end-to-end cloud native IoT applications making use of 5G access, and distributed both across geographic locations and across hybrid MEC (edge cloud) and Public Cloud (SaaS) infrastructure.

Team DOMINO showed how telco providers can enable sharing of their services in a MEC Federation environment, by orchestrating, bare metal servers and their software stack, 5G control plane and user plane functions. In addition, by orchestrating interconnection between the 5G provider and MEC provider, connectivity to a public cloud as well as the IoT application and the MEC Location API service, Team DOMINO demonstrated MEC Service Federation for location-aware IoT.

Learn more about this solution and the Akraino PCEI blueprint on the Akraino wiki.

Congratulations to team DOMINO & everyone involved in this use case and blueprint!

Home Edge Eucalyptus (vE) Release Enhances Home Data Privacy and Adds Android Support

By Blog, Home Edge, Project Release

Home Edge—an open source edge computing framework for home devices—is now available in its Eucalyptus (vE) release. Home Edge, an LF Edge project, is a robust, reliable and intelligent home edge computing open source framework and ecosystem running on a variety of devices in the home. To accelerate the deployment of the edge computing services ecosystem successfully, the Home Edge Project provides users with an interoperable, flexible, and scalable edge computing services platform with a set of APIs that can also run with libraries and runtimes.

“I am excited to share the availability of vE version of Home Edge on Github,” said Suresh L C, Home Edge Technical Steering Committee (TSC) Co-Chair. “The new Home Edge release adds Android execution support with a secure, robust and end-to-end framework for intelligent service offloading in smart home scenarios, which in turn provides data privacy with low latency response.”

The vE release adds a number of significant new features, among them are

  • Open Source Security Foundation (OpenSSF) Badge
    • Home Edge has achieved the OpenSSF best practices Gold badge and the OpenSSF scorecard has also been integrated. Go-Project is made compliant by incorporating necessary documentation/quality fixes.
  • Data synchronization to Cloud endpoints – MQTT
    • Independent MQTT based cloud synchronization mechanism as enhancement to vD
    • API’s to send and receive data from and to between Service application and Cloud via Home Edge
    • MQTT broker would be configured at the cloud (Cloud agnostic)
    • Home Edge acts as MQTT client to exchange data 
    • TLS secure mode for all the data exchange
  • Platform enhancement
    • The support for the execution of Home Edge on Android has been added to Home Edge Android
    • The base code currently supports device/service discovery and service offload to Linux device
    • Service offload to Android from Linux is not supported in this release
  • Dependent bot integration
    • Bot to check on the updates on dependent libraries has been integrated
    • The bot has been configured to run once every month in the first week
  • Code enhancements
    • Fixed TxT Record parsing as per mDNS protocol
    • Refactored service list assignment logic TxT record
    • Modified get score API from GET to POST in line with API design rules
    • API to add/delete events from database based on event ID added for DataStorage
    • Code coverage increased by adding more test cases
    • Modified response for Ping request to Pong
  • Auto numerical tagging of code when significant changes are incorporated

Learn more about these and other features of Home Edge vE release in the release notes.

What’s next

For the next steps, the community will work on strengthening the Android version of Home Edge so that the features are in line with the Go version.

If you are using or evaluating Home Edge, please let the project TSC know and join the TSC meetings. Your feedback on the project is greatly appreciated!

Edgex Foundry Goes Full Message Bus With Its Latest EdgeX 2.3 “Levski” Release

By Blog, EdgeX Foundry, Project Release
EdgeX Foundry now fully embraces decoupled message bus communication within the platform

I am delighted to announce today the availability of the EdgeX Foundry 2.3 release which is codenamed Levski. This is the project’s 11th official release since its inception in 2017 and includes some significant new features and benefits to users that I’ll explain in this blog.

Having been elected as the chair of the EdgeX Technical Steering Committee (TSC) earlier this summer, it’s great to be able to announce the news of this release but it really is the technical expertise and dedication of the EdgeX development team that helps bring these releases to the wider community. Thanks again for everyone’s effort here. Great to be part of a group of many different companies and individuals working together to make great open source edge software.

What is Levski?

First let me give mention to the Levski codename. As you may know, each EdgeX release is named after a certain place or location in the world, with the specific place chosen each time significant contributors to the project. This version was named by two long term EdgeX contributors, Diana Atanasova and Malini B

handaru, both from VMware. For version 2.3 and the letter “L”, we come back over to Europe because Levski is a large mountain in the beautiful European country of Bulgaria. Bulgaria is also Diana’s homeland so it’s nice to be able to recognize that with the naming of this release.

New in EdgeX 2.3 – More about the Message Bus

Perhaps the biggest single new feature is the enhancement to support the delivery of commands via the EdgeX message bus.

We’ve previously made great strides in EdgeX V2 by delivering data from the southside (from devices and sensors) to the northside (to the core and application layers) via an internal message bus. This release also adds the support in the other direction, i.e., from the northside (the application layers and core layers) down to the southside (the devices and sensors) on the same message bus. Previously the southbound communication was exclusively via REST. Moving to support message bus-based communication in both directions is a big advancement and brings key benefits in terms of reduced latency and increased scalability. The asynchronous communication and the QoS-based control that you get from the message bus implementations that you can choose adds delivery guarantees and retransmissions of messages as needed.

Message Bus

More Run-Time Data

Another key area of development for Levski has been the focus on providing EdgeX users with more live information about how the system is running. EdgeX 2.3 adds System or “Control Plane” Events that can provide live updates as to what is happening. For example, users can receive notifications that new devices are added or that there has been a network disconnection from a specific device.

Somewhat related to System Events are the Telemetry Metrics. In contrast to events though, the metrics provide numeric information relating to how the platform is operating. Examples include the number of data readings that are persisted by core data or the number of secrets or tokens that are stored. Building of what was delivered previously, Levski adds more metrics across all of the services.

All of this information can be collected and reported however the user sees fit. In addition, the System Events and Telemetry Metrics mechanisms are available for users to add their own metrics as needed.

Many other updates and enhancements

There are many other new additions in this last release cycle including:

  • Availability of NATS as alternative implementation of the internal EdgeX Message Bus. NATS is a popular and lightweight protocol with native delivery of EdgeX messages and potential advantages in high availability (HA) use cases
  • Authenticated access to the MQTT message bus
  • Securing of the Consul registry service with access tokens
  • Passing status at the Open Source Security Foundation (OpenSSF)
  • Initial construction of the EdgeX STRIDE threat model
  • Improving the EdgeX development process with a new Use Case Requirements (UCRs) phase in the design procedure

See the release notes here for full details of what the Levski release provides.

New adopters and use cases for EdgeX

Running as a mature, stage 3 Linux Foundation project, there are now many users and adopters of EdgeX technology around the world. That includes users who download and deploy the open source EdgeX code, but also users of commercial products (including ours at IOTech) that are based on EdgeX. Take a look at some of the companies who are users of EdgeX. There are also a good set of presentation videos from different adopters of the technology.

One of my personal aims as TSC chair is to help encourage the adoption and wider use of EdgeX. Thanks to Building System Integrators (BSI) who recorded a talk at a recent TSC meeting. It would be great to hear from more companies who would like to do something similar. Please do reach out to me to arrange it.

What’s coming next?

Each release marks a busy period where of course we finalize the current version, but already we are looking forward at what we can achieve in the next release. Codenamed Minnesota and expected to be version 3.0, we are looking to add new features to help with the scalable configuration of EdgeX. Tune into the Minnesota technical planning conference that we are running next week where we will scope out what we can do. As always, attendance and contributions are very welcome.

Thanks again to everyone who had a hand in this release, and we look forward to more successful releases in the future.