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Jill Lovato

Upcoming meetings:

  • Oct 7th at 8am PT (1500 UTC)
  • Meeting cadence: every Friday until November 15 (ONE Summit). After ONE Summit, we'll meet first Friday of every month at 8am PT

Past meetings:

  • September 23rd

Meeting notes: https://docs.google.com/document/d/1WKILSmnbys-Oog23K8-mGKrc8YkgkmX9ZU8jWX5oLH0/edit

  • September 30th 

Meeting notes: LF Edge E2E Showcase Working Meeting Notes - Google Docs



https://zoom.us/rec/share/1-5RDopItOgUQFRofLlMj9oFa5_Nhi2I9XZP1pUmuTrivjGhfxicxJxVfP5eJPy2.uOk5XML3jzkVn2AE?startTime=1654793820000

Objectives of LF Edge Industry Solution Showcase: 

The LF Edge Industry Solution Showcase was initiated by LF Edge SPC, and is currently being lead by LF Edge TAC with the support and participation of LF Edge staff and community.

The objectives of the program are:

  • To promote LF Edge projects and increase adoption 
  • To demonstrate how LF Edge project-based solutions solve real world problems

  • To help identify solution gaps for the LF Edge developer community and seek support

  • To help project developers build a stronger business case for their sponsor's investment in their project
  • To help increase user adoption for LF Edge projects by providing repeatable patterns, increasing participant eminence, and driving project awareness
  • To provide inspiration for more innovative projects under LF Edge

Requirements of LF Edge Industry Solution Showcase:

To ensure quality and consistency of each showcase, please provide the following required content in order to be qualified as "In operation (ready to show) "showcase.

For those showcases that are not ready (don't have sufficient content for the following requirements, please put your showcase under the "In pipeline" area, and we'd be happy to move your showcase whenever you're ready. 

  • Title of the showcase (only official LF Edge projects can be listed on the title)
  • Owner/Leader(s) of the showcase
  • LF Edge projects involved (minimum 1 LF Edge project need to be in the showcase) 
  • Description
    • The solution needs to “solve” an industry problem, which needs to be clearly stated in the “description” section of the showcase
    • Please provide solution architecture and any additional technical information that you want to provide in the "description" section of the showcase
    • The solution doesn’t need to be “production ready”, but the solution needs to be “demo-able”/”deployable”, and currently exists in a lab. I.e. a POC that can be started by anyone in the community or a video demos the solution 
    • Each showcase needs to have at least one user who endorses the solution. The user doesn’t need to be a customer of the solution, but they need to show interest and participate in the solution building effort. 
    • A service provider who is using the stated LF Edge project(s) as part of their commercial solution/service offering can be qualified as an “user”
    • Only official LF Edge projects can be listed in the title. Other projects, software/hardware products/technologies to round up the solution can be listed in the “Description” section
  • How to install/use 
  • Current Adopters
    • Minimum one user endorsement. Pls provide the enterprise or organization name. Alternatively, a description of the user can be provided if the user doesn't want to publish their company name. Example - A telco in UK, 
    • The user doesn’t need to be a customer of the solution, but they need to show interest and participate in the solution building effort. 
    • A service provider who is packaging the solution as part of their commercial solution/service offering can be qualified as an “user”
  • Video/presentation (provide a video or a .ppt of the demo) 
  • Related talks/links
  • Call to action (if you need more developers, resources, user endorsement, etc. please leave contact information)

In operation (ready to show): 

LF Edge Cross Project Collaboration (Upstream project EdgeGallery + LF Edge Fledge + eKuiper + Akraino)

Owner: 

khemendra kumar <khemendra.kumar13@gmail.com> 

LF Edge project(s) involved: 

EdgeGallery, Fledge, eKuiper, Akraino

Description:

EALTEdge (Enterprise applications on lightweight 5G telco edge) BP from Akraino, which integrates various open source projects to build a MEC based edge computing platform. EALTEdge BP alongs with its upstream project EdgeGallery, providing an IOT stack which leverages Fledge(for IOT protocol and data collection) and eKuiper(Data Filter). 

In this demo, we use a sample simulated IOT device. Data from Device is processed in pipeline in multiple stages like data collection from devices, data filtration and transformation then store in DB for offline scenarios. 

Now IOT applications can access this data. It support http exporter to get data by application.  Application like grafana can get data from DB as well.

In this Demo, we are using simulated MQTT device which produce readings every seconds and processed data is visualise in Grafana to monitor the device.

How to install/use:


Current Adoptors


Video/presentation:

LFEdge-Cross-Project-Collaboration-EALTEdge-Demo.mp4


Related talks/links:


Call to action:

Please see more details at “Open Experience Lab” of EALTEdge (LF Edge end-to-end show-case)


Robotics

Owners: 

Fukano Haruhisa <fukano.haruhisa@fujitsu.com>, Inoue Reo<inoue.reo@fujitsu.com>, Jeff Brower <jbrower@signalogic.com>

LF Edge project(s) involved: 

Akraino

Description: 

Enterprise robotics use cases in manufacturing, production, agriculture, and retail are emerging rapidly due to macro economic pressures, including cost of labor, manpower shortages, and legal/liability issues. In these use cases, functionality is most important, followed by reduced SWaP (size, weight, and power consumption), employee safety, data privacy, and cloud independence. To achieve these objectives requires progress in key areas of underlying robotics technology:

  • Fusion of sensor touch and tactile data, combined with AI in order to handle objects of various shapes and friction coefficients, and in variable circumstances
  • Computer vision. In addition to detecting and recognizing people, enterprise robots also must identify dangerous situations, for example leaning or unstable objects (such as a leaning pallet in a warehouse), incorrect lighting, slippery floors, foreign objects on a conveyor belt, etc.
  • Speech recognition. First and foremost, enterprise robots need to recognize "immediate and urgent" voice commands in order to prioritize human safety; for example if someone shouts "Stop Now" the robot must stop - regardless of who is the speaker, level of background noise, or other circumstance. Second, enterprise robots need to accept verbal instructions, rather than programming interfaces (e.g. keyboard, app) inconvenient for rugged, wet, and fast-paced environments
  • Data privacy. Enterprise operations do not trust public clouds with video and audio that may contain sensitive and/or proprietary information. Training for deep learning purposes must be handled on-premise or otherwise trusted manner 

Video/presentation:

Call to action:


How to install/use:

1.Installation guide in akraino

2.Docker Hub container available to demonstrate ASR on quad core Atom pico ITX board

Current Adopters (or vaguely describe the adopter such as a major telco provider): 

Major food preparation / manufacturing customers working with Fujitsu

Related talks/links: 

立命館大学 SSES Platform - Ritsumeikan Univ. (sip-sses.net)

Schedule | Linux Foundation Events

RobotHPC™ Robotics Edge Platform

Clean Energy

Owners:

Mathew Yarger, Kathy Giori

LF Edge project(s) involved: 

EVE, Project Alvarium

Description: 

The growth in edge solutions has created a seismic shift in the ability to have a detailed understanding of data such as; where it comes from, who has access to it, how it’s been processed, and how it can be trusted. By combining edge solutions with scalable and efficient distributed ledger technologies, this level of understanding also comes with a high level of transparency which can provide a new level of confidence in how things are monitored, measured, reported, verified and utilized by applications. Project Alvarium has taken these technologies and created novel data confidence fabrics that allow all stakeholders to have up to date data that can be measured, annotated and disseminated efficiently, while also quantifying the confidence in the data based on built in methodologies that are being standardized by the industries the capabilities are being piloted with. In this use case, Alvarium has utilized the IOTA Tangle to provide transparency in the monitoring, reporting and verification process of clean energy solutions with support of partners ClimateCHECK, Dell Technologies, and Environment and Climate Change Canada (Canadian Government). This use case enables real time confidence in good and clean data, while also signifying which data is more inclined to be faulty through a lower confidence score. This helps to combat garbage data in problems while addressing concerns of greenwashing, and ensuring that innovations in clean energy are accurately reporting the impact they’re creating.  

Video/presentation:

Below presentation includes a case study of a biodigester plant in Molina, Chile.

Link to above slides as a video presentation.

More technical details about Alvarium and IOTA are in the slides below.

Call to action:


How to install/use:


Current Adopters (or vaguely describe the adopter such as a major telco provider): 


Related talks/links:


DevOps MEC Infra Orchestration 

Owner: Oleg Berzin oberzin@equinix.com 

LF Edge project(s) involved: 

Akraino

Description: 

Public Cloud Edge Interface (PCEI) enables infrastructure orchestration and cloud native application deployment across public clouds (core and edge), edge clouds, interconnection providers and network operators. The notable innovations in PCEI are the integration of Terraform as a microservice to enable DevOps driven Infrastructure-as-Code provisioning of edge cloud resources (bare metal servers, operating systems, networking) public cloud IaaS/SaaS resources, private and public interconnection between edge cloud and public cloud, integration of Ansible as a microservice to enable automation of configuration of infrastructure resources (e.g., servers) and deployment of Kubernetes and its critical components (e.g., CNIs) on the edge cloud, and introduction of a workflow engine to manage the stages and parameter exchange for infrastructure orchestration and application deployment as part of a composable workflow. PCEI helps simplify the process of multi-domain infrastructure orchestration by enabling a uniform representation of diverse services, features, attributes, and APIs used in individual domains as resources and data in the code that can be written by developers and executed by the orchestrator, effectively making the infrastructure orchestration across multiple domains DevOps-driven. 

https://www.lfedge.org/2021/12/14/where-the-edges-meet-apps-land-and-infra-forms-akraino-release-5-public-cloud-edge-interface/

Video/presentation:

Multimedia File MEC-TECH-SERIES_epN - DevOps MEC Infra Orchestration v0.4.mp4

Call to action:


How to install/use:


Current Adopters (or vaguely describe the adopter such as a major telco provider): 


Related talks/links:


Delivering, Managing, and Scaling Retail Applications and Analytics Inside Stores and Warehouses with Minimal IT Staff Touchpoints

Owner: Mahesh Dodani, IBM <dodani@us.ibm.com>

LF Edge project(s) involved: 

EdgeX Foundry, Open Horizon, SDO (FDO), (incubating under EdgeX) ORRA

Description: 

In this showcase we walk through the architecture, demonstration and the business outcomes delivered by leveraging open source projects to build commercial solutions that can be applied across multiple industries to address how to rapidly scale actionable insights at the point of interaction -- i.e. delivering AI at the Edge. By combining open source technologies from Intel based on Edge X Services and from IBM based on Open Horizon the solution focuses on delivering AI at the Edge showcasing how to speed the deployment and operations delivering fast time to value. The project shows how customers can use the solution to decrease operational costs through secure, autonomous and declarative management across geographically distributed locations at scale. The set of capabilities highlighted will be to remotely manage data, applications and AI models independently and flexibly to deliver the actionable insights at the point of interaction. Finally we will showcase how open technologies can support vendor agnostic DevSecNetOps tooling and infrastructures, including how we can run at the Edge on both Intel and purpose built Scale Computing servers.

Video/presentation:

Link to demo at ORRA meeting, demo begins at 4:00 mark

Call to action:


How to install/use:

Current Adopters (or vaguely describe the adopter such as a major telco provider): 


Related talks/links:


In pipeline:

Smart Edge Open(OpenNESS) for O-RAN

Owner: Keesang Song keesang.song@amd.com

LF Edge project(s) involved: 

Magma, ORAN, EVE

Description: 

To make available as a Smart Edge Open application a ready-to-use, downloadable O-RAN test / demo

OSC (O-RAN Software Community) is missing certain software components. Possibly Smart Edge Open(OpenNESS) can fill in these components

Currently in OSC there are solid implementations of Near RT RIC, Non RT RIC, and underlying O-Cloud support. However, key network elements are missing open source support, including:

  • O-CU – Radisys commercial binary in use in OSC F-release

  • O-DU – Open source O-DU-high is implemented in OSC, but the O-DU-low was using closed-source FlexRAN from Intel from the beginning, Consider OAI (OpenAirInterface 5G) Eurocomm group to make O-DU-Low-PHY stack  available from open source library along with other 5G E2E SW stack

  • O-RU – For O-RU simulator, currently a Viavi TM500 in OSC community lab

To enable end-to-end demo and test/measurement setups, it’s important to figure out a way to have a full, end-to-end O-CU/O-DU/O-RU combination in place.

Video/presentation:


Call to action:


How to install/use:


Current Adopters (or vaguely describe the adopter such as a major telco provider): 


Related talks/links:









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