Category

LF Edge

Open Horizon Moves to Stage 2!

By Blog, LF Edge, Open Horizon

Written by Joe Pearson, Open Horizon Chair of the Technical Steering Committee and Edge Computing and Technology Strategist at IBM

On Thursday, March 4, 2021 the Open Horizon open source project was officially promoted to stage two maturity.  This was the culmination of a process that began on January 27, when I presented the proposal to the LF Edge Technical Advisory Committee (TAC).

Introduction

The Open Horizon software project was seeded by a contribution from IBM to the Linux Foundation in April 2020.  The project’s mission: to develop open-source software that manages the service software lifecycle of containerized applications on edge compute nodes.  Since that initial code contribution, the project and community has grown as it has attracted new project partners and contributors.

About Stage Two

Reaching stage two is a significant milestone for open-source software projects because it is a strong indicator of both the organization’s healthy growth, and potential stakeholder interest in using the software as a solution for specific use cases.  In the LF Edge umbrella organization, projects have to meet the following criteria to achieve stage two:

  • Past community participation met previous growth plans
  • An ongoing flow of merged code commits and other contributions
  • Documented proofs of concept using the software
  • Collaboration with other LF Edge projects
  • Growth plan, including projected feature sets and community targets

Getting Started

Since the project began last spring, it formed a Technical Steering Committee (TSC) and began hosting public meetings last July.  The TSC then authorized the creation of seven Working Groups which are responsible for overseeing the daily work of the project.  Then a Special Interest Group (SIG) proposal was presented for the formation of a group to promote manufacturing and Industry 4.0 use cases last August, which was approved.

Growing the Community

The project has also been actively involved in reaching out to students and universities.  Thanks to funding from the Linux Foundation and Intel, the LFX Mentorship program was able to provide stipends for mentees who complete a term with Linux Foundation projects.  Open Horizon joined the LFX program and was able to mentor four students and early career persons from October to December 2020.  This mentorship program continues, and Open Horizon has just begun the Spring 2021 term with four new mentees.

Using the Platform

Last year, IBM created a commercially supported distribution of Open Horizon that was named IBM Edge Application Manager (IEAM).  We’ve seen Open Horizon, or Open Horizon-based distributions, being used in an autonomous ship, vertical farming solutions, regional climate protection management, shipping ports, and even the International Space Station to deliver applications and related machine learning assets.  And last week HP Inc, Intel, and IBM presented a webinar to invite retailers and vendors to participate in creating an Open Retail Reference Architecture based on the EdgeX Foundry, Open Horizon, and SDO projects.

Creating an Open Edge Computing Framework

The LF Edge organization provides a structure to support open edge computing projects.  This should allow those projects to collectively form a framework for edge computing if they support common standards and interoperability.  The Open Horizon project is working to further that goal by both working with other LF Edge projects to create end-to-end edge computing solutions when combined, but also to support existing open standards and to create new standards where none exist today.  An example of supporting existing standards is in the area of zero-touch device provisioning where Open Horizon incorporates SDO services, a reference implementation for the FIDO IoT v1 specification.

Join Us

Now that Open Horizon has demonstrated its value as a platform and a community, it is preparing to expand the community by adding new SIGs, Partners, and contributors to the project.  To work with the project community to shape application delivery and lifecycle management within edge computing, consider attending one of the Working Group meetings, contributing code, working on standards, or even installing the software.

Additional Resources:

Decentralized ID and Access Management (DIAM) for IoT Networks

By Blog, Hyperledger, LF Edge

Written by Nima Afraz, Connect Centre for Future Networks and Communications, Trinity College Dublin

The Telecom Special Interest group in collaboration with the Linux Foundation’s LF Edge initiative has published a solution brief addressing the issues concerning the centralized ID and Access Management (IAM) in IoT Networks and introducing a distributed alternative using Hyperledger Fabric.

The ever-growing number of IoT devices means data vulnerability is an ongoing risk. Existing centralized IoT ecosystems have led to concerns about security, privacy, and data use. This solution brief shows that a decentralized ID and access management (DIAM) system for IoT devices provides the best solution for those concerns, and that Hyperledger offers the best technology for such a system.

The IoT is growing quickly. IDC predicts that by 2025 there will be 55.7 billion connected devices in the world. Scaling and securing a network of billions of IoT devices starts with a robust device. Data security also requires a strong access management framework that can integrate and interoperate with existing legacy systems. Each IoT device should carry a unique global identifier and have a profile that governs access to the device.

In this solution brief, we propose a decentralized approach to validate and verify the identity of IoT devices, data, and applications. In particular, we propose using two frameworks from the Linux Foundation: Hyperledger Fabric for the distributed ledger (DLT) and Hyperledger Indy for the decentralized device IDs. These two blockchain frameworks provide the core components to address end-to-end IoT device ID and access management (IAM).

The Problem: IoT Data Security

The ambitious IoT use cases including smart transport infer a massive volume of vehicle-to-vehicle (V2V) and vehicle-to-road communications that must be safeguarded to prevent malicious activity and malfunctions due to single points of failure.

The Solution: Decentralized Identity

IoT devices collect, handle, and act on data as proxies for a wide range of users, such as a human, a government agency, or a multinational enterprise.With tens of billions of IoT devices to be connected over the next few years, numerous IoT devices may represent a single person or institution in multiple roles. And IoT devices may play roles that no one has yet envisioned.

A decentralized ID management system removes the need for any central governing authority and makes way for new models of trust among organizations. All this provides more transparency, improves communications, and saves costs.

The solution is to use Hyperledger technology to create a trusted platform for a telecom ecosystem that can support IoT devices throughout their entire lifecycle and guarantee a flawless customer experience. The solution brief includes Reference Architecture and a high-level architecture view of the proof of concept (PoC) that IBM is working on with some enterprise clients. This PoC uses Hyperledger Fabric as described above.

Successful Implementations of Hyperledger-based IoT Networks

IBM and its partners have successfully developed several global supply-chain ecosystems using IoT devices, IoT network services, and Hyperledger blockchain software. Two examples of these implementations are Food Trust and TradeLens.

The full paper is available to read at: https://www.hyperledger.org/wp-content/uploads/2021/02/HL_LFEdge_WhitePaper_021121_3.pdf

Get Involved with the Group

To learn more about the Hyperledger Telecom Special Interest Group, check out the group’s wiki and mailing list. If you have questions, comments or suggestions, feel free to post messages to the list.  And you’re welcome to join any of the group’s upcoming calls to meet group members and learn how to get involved.

Acknowledgements

The Hyperledger Telecom Special Interest Group would like to thank the following people who contributed to this solution brief: Nima Afraz, David Boswell, Bret Michael Carpenter, Vinay Chaudhary, Dharmen Dhulla, Charlene Fu, Gordon Graham, Saurabh Malviya, Lam Duc Nguyen, Ahmad Sghaier Omar, Vipin Rathi, Bilal Saleh, Amandeep Singh, and Mathews Thomas.

Linux Foundation, LF Networking, and LF Edge Announce Speaker Line-up for Open Networking & Edge Executive Forum, March 10-12

By Announcement, Event, LF Edge

Technology leaders, change makers and visionaries from across the global networking & edge communities will gather virtually for this unique, one-of-a-kind executive event focusing on deployment progress, 2021 priorities, challenges and more. 

SAN FRANCISCO, February 25, 2020 The Linux Foundation, the nonprofit organization enabling mass innovation through open source, along with co-hosts LF Networking, the umbrella organization fostering collaboration and innovation across the entire open networking stack, and LF Edge, the umbrella organization building an open source framework for the edge, announced today the speaker line-up for Open Networking & Edge Executive Forum. The schedule can be viewed here and the speaker details can be viewed here.  

Open Networking & Edge Executive Forum (ONEEF) is a special edition of Open Networking & Edge Summit, the industry’s premier open networking & edge event, gathering senior technologists and executive leaders from enterprises, telecoms and cloud providers for timely discussions on the state of the industry, imminent priorities and insights into Service Provider, Cloud, Enterprise Networking, and Edge/IOT requirements. 

ONEEF will take place virtually, March 10-12. Times vary each day to best accommodate the global audience. Attendees will be able to interact with speakers and attendees directly via chat, schedule 1:1 meetings and more as they participate in this community call to action. 

“ONEEF is a great opportunity for the community to come together virtually after a very hard year,” said Arpit Joshipura, General Manager, Networking, Edge, and IoT, The Linux Foundation. “We have an impressive line-up of speakers from across a diverse set of global organizations, ready to share their knowledge and passion about what’s next for our burgeoning industry. Hope you can join us!”

Confirmed Keynote Speakers Include:

  • Madeleine Noland, President, Advanced Television Systems Committee
  • Andre Fuetsch, Executive Vice President & Chief Technology Officer, AT&T Services, Inc.
  • Steve Mullaney, Chief Executive Officer & President, Aviatrix
  • Jacob Smith, Vice President, Bare Metal Marketing & Strategy, Equinix
  • Dr. Junlan Feng, Chief Scientist & General Manager, China Mobile Research
  • Sun Quiong, SDN Research Center Director, China Telecom Research Institute
  • Dr. Jonathan Smith, Program Manager, Information Innovation Office (I2O), DARPA
  • Tom Arthur, Chief Executive Officer, Dianomic
  • Chris Bainter, Vice President, Global Business Development, FLIR Systems
  • George Nazi, Global Vice President, Telco, Media & Entertainment Industry Solutions Lead, Google Cloud
  • Amol Phadke, Managing Director: Global Telecom Industry Solutions, Google Cloud
  • Shawn Zandi, Head of Network Engineering, LinkedIn
  • Tareq Amin, Group Chief Technology Officer, Rakuten
  • Johan Krebbers, IT Chief Technology Officer & Vice President, TaCIT Architecture, Shell
  • Pablo Espinosa, Vice President, Network Engineering, Target
  • Manish Mangal, Chief Technology Officer, Network Services, Tech Mahindra
  • Matt Trifiro, Chief Marketing Officer, Vapor IO
  • Subha Tatavarti, Sr. Director Technology Commercialization, Walmart
  • Said Ouissal, Founder & CEO, ZEDEDA

Registration for the virtual event is open and is just US$50. Members of The Linux Foundation, LF Networking and LF Edge can attend for free – members can contact us to request a member discount code. The Linux Foundation provides diversity and need-based registration scholarships for this event to anyone that needs it; for information on eligibility and to apply, click here. Visit our website and follow us on Twitter, Facebook, and LinkedIn for all the latest event updates and announcements.

Members of the press who would like to request a media pass should contact Jill Lovato.

ONEEF sponsorship opportunities are available through Tuesday, March 2. All packages include a keynote speaking opportunity, prominent branding, event passes and more. View the sponsorship prospectus here or email us to learn more.  

About The Linux Foundation
The Linux Foundation is the organization of choice for the world’s top developers and companies to build ecosystems that accelerate open technology development and industry adoption. Together with the worldwide open source community, it is solving the hardest technology problems by creating the largest shared technology investment in history. Founded in 2000, The Linux Foundation today provides tools, training and events to scale any open source project, which together deliver an economic impact not achievable by any one company. More information can be found at www.linuxfoundation.org.

The Linux Foundation Events are where the world’s leading technologists meet, collaborate, learn and network in order to advance innovations that support the world’s largest shared technologies.

The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see our trademark usage page: https://www.linuxfoundation.org/trademark-usage.

Linux is a registered trademark of Linus Torvalds.

LF Edge Member Spotlight: Red Hat

By Blog, LF Edge, Member Spotlight

The LF Edge community is comprised of a diverse set of member companies and people that represent the IoT, Enterprise, Cloud and Telco Edge. The Member Spotlight blog series highlights these members and how they are contributing to and leveraging open source edge solutions. Today, we sit down with Lisa Caywood, Principal Community Architect at Red Hat, to discuss the their history in open source, participation in Akraino and the Kubernetes-Native Infrastructure (KNI) Blueprint Family, and the benefits of being a part of the LF Edge ecosystem.

Can you tell us a little about your organization?

Red Hat is the world’s leading provider of enterprise open source solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. We help you standardize across environments, develop cloud-native applications, and integrate, automate, secure, and manage complex environments with award-winning support, training, and consulting services.

Why is your organization adopting an open-source approach?

Open Source has always been at the core of Red Hat’s core values. As the largest open source company in the world, we believe using an open development model helps create more stable, secure, and innovative technologies.  We’ve spent more than two decades collaborating on community projects and protecting open source licenses so we can continue to develop software that pushes the boundaries of technological ability. For more about our open source commitment or background, visit https://www.redhat.com/en/about/open-source.

Why did you join LF Edge and what sort of impact do you think LF Edge has on the edge, networking, and IoT industries?

The network edge is the focus of intensive reinvention and investment in the telco industry and beyond. With a wide array of use cases, and equally wide array of technology options for enabling them, supporting adoption of many new technologies and approaches requires having a common forum for working out design and operations guidelines as well as common approaches to interoperability. IoT requirements aren’t strongly featured at the moment, but we foresee opportunities to focus here in the future. In all of the above cases we strongly believe that the market is seeking open source solutions, and the LF Edge umbrella is a key to fostering many of these projects.

What do you see as the top benefits of being part of the LF Edge community?

  • Forum for engaging productively with other members of the Edge ecosystem on interoperability concerns
  • Brings together work done in other Edge-related groups in an framework focused on implementation

What sort of contributions has your team made to the community, ecosystem through LF Edge participation?

We have primarily participated in the development of Akraino Blueprints such as the Kubernetes-Native Infrastructure (KNI) Blueprint Family. Specifcially, the KNI Provider Access Edge Blueprint, which leverages the best-practices and tools from the Kubernetes community to declaratively manage edge computing stacks at scale and with a consistent, uniform user experience from the infrastructure up to the services and from developer environments to production environments on bare metal or on public cloud, and the KNI Industrial Edge Blueprint. We are also active on the LF Edge Governing Board and other committees that help form and guide the project.

What do you think sets LF Edge apart from other industry alliances?

Close interaction with LF Networking and CNCF communities.

How will LF Edge help your business?

Red Hat’s partners and customers are strongly heading towards areas in RAN and other workload virtualization and containerization, 4g/5g, Edge, MEC and other variations on those areas. The Linux Foundation Edge’s umbrella is one of the premier places for organizations focusing on creating open source solutions in these areas to converge.

What advice would you give to someone considering joining LF Edge?

As with any open source engagement, prospective members should have clear, concrete and well-documented objectives they wish to achieve as a result of their engagement. These may include elaboration of specific technical capabilities, having a structured engagement strategy with certain key partners, or exploration of a new approach to emerging challenges. Take advantage of onboarding support provided by LF staff and senior contributors in your projects of interest.

To find out more about LF Edge members or how to join, click here.

To learn more about Akraino, click here. Additionally, if you have questions or comments, visit the LF Edge Slack Channel and share your thoughts in the #akraino, #akraino-help, #akraino-tsc and #akraino-blueprints channels.

Over the Edge Podcast with LF Edge Members

By Blog, LF Edge, Member Spotlight, State of the Edge

Edge computing represents a long-term transformation of the Internet that could take decades to fully materialize. On the Over the Edge podcast, Ian Faison and LF Edge member Matt Trifiro interview corporate leaders, open-source experts, technologists, journalists, analysts, and innovators pushing the boundaries of edge. Since launch earlier this year, the podcast has featured several LF Edge members and contributors who are changing the landscape. As we look back at 2020, here’s a podcast roundup of what these leaders had to say about edge computing.

Edge computing is an inflection point – Matt Trifiro, CMO of Vapor IO and Chair of State of the Edge

Bringing the world of software into the world of physical networks – Jacob Smith, Co-Founder of Packet and Chair of State of the Edge

Bringing the edge to emerging markets – Joe Zhu, CEO of Zenlayer and Akraino contributor

How open source is expanding the horizon for IoT and edge – Malini Bhandaru, IoT Open Source Lead at VMware and Co-Chair of the EdgeX Foundry Security Working Group

Open source collaboration is the only way to scale – Jason Shepherd, VP of Ecosystem at ZEDEDA and LF Edge Governing Board member and one of the leaders of Project EVE

A 30,000-foot view of edge – Gavin Whitechurch, Co-Founder of Edge Computing World/COO of Topio Networks and State of the Edge contributor

How standards drive adoption and enable the intelligent edge – Alex Reznik, Distinguished Technologist at HPE and Chair of ETSI MEC and Akraino contributor

Building the easy button for edge – Cole Crawford, CEO and Founder of Vapor IO and one of the leaders of State of the Edge

The future of IoT deployment at the edge – Sarah Beaudoin, Head of Customer Advocacy at ZEDEDA and Project EVE contributor

The cloud that will power and scale the new internet – Mahdi Yahya, CEO and Founder of Ori Industries and Akraino contributor

Redefining networking to empower edge innovation– David Hart, CTO and Co-Founder of NetFoundry and EdgeX Foundry contributor

CBRS, Shared Spectrum, and the democratization of wireless access – Iyad Tarazi, President, CEO and Co-Founder of Federated Wireless and Akraino contributor

Additional podcast episodes can be found here. If you want to be featured in the Over the Edge podcast, let us know!

 

LF Edge Member Spotlight: Equinix

By Blog, LF Edge, Member Spotlight

The LF Edge community is comprised of a diverse set of member companies and people that represent the IoT, Enterprise, Cloud and Telco Edge. The Member Spotlight blog series highlights these members and how they are contributing to and leveraging open source edge solutions. Today, we sit down with Justin Dustzadeh, Chief Technology Officer at Equinix, to discuss the importance of open source, collaborating with industry leaders in edge computing, their leadership of the Akraino Public Cloud Edge Interface (PCEI) Blueprint and the impact of being a part of the LF Edge ecosystem.

 

Can you tell us a little about your organization?

Equinix is a digital infrastructure company. We offer the world’s largest platform of high-quality data centers, including reliable interconnection to ecosystems of enterprises, clouds, networks and IT providers. With our global footprint of 220+ data centers in 26 countries, we currently serve nearly 10,000 customers, including the largest cloud providers, Fortune 500 enterprises and Global 2000 companies. Platform Equinix contains the highest share of public cloud on-ramps and most physically- and virtually-interconnected ecosystems.

Why is your organization adopting an open-source approach?

Consistent with our software-defined-everything vision, we believe in a software-first approach and the vital role of software in enabling the vision of digital transformation as a service. We believe in innovation through collaboration, and the power of the developer community and open-source ecosystems where participants can collaborate to develop software and improve it together.

We have significantly increased our engagements in the developer community and open-source ecosystems, including within the Linux Foundation where we have various technical and leadership roles and are actively engaged to help drive and contribute to a few key projects where we believe we can add value. Our participation within the Linux Foundation includes a Premier (top-level) membership with LF Edge, a Silver (standard-level) membership with LF Networking and a Gold (2nd-top-level) membership with Cloud Native Computing Foundation (CNCF).

Why did you join LF Edge and what sort of impact do you think LF Edge has on the edge, networking, and IoT industries?

The charter of LF Edge, focusing on establishing an open, interoperable framework for edge computing is well aligned with our vision of the edge. We believe that the edge will be richly-interconnected, with required capabilities for multi-domain, edge-to-multicloud orchestration, potentially spanning devices, access and aggregation networks, interconnected data centers and core clouds.

The diversity of edge use cases, such as IoT, distributed AI, private 5G, radio edge cloud (to name a few), and the corresponding technology and architecture requirements, reinforces the notion that edge will be everywhere and will evolve into an increasingly-complex ecosystem. We strongly believe that a community approach to help define a set of real-world edge use cases and capabilities integrated as blueprints, implemented with modern software stacks and cloud-native technologies, will accelerate the deployment of edge solutions with minimum friction, benefitting users and customers.

What do you see as the top benefits of being part of the LF Edge community?

We see a great synergy between the neutral role of Equinix, as the trusted global platform for reliable, highly-distributed and interconnected edge infrastructure, and the rich ecosystem of hardware, software, connectivity, content and cloud players required to enable various edge use cases. LF Edge is a forum where we can collaborate with many of these players in an open environment and co-develop edge solutions that can benefit from leveraging our infrastructure capabilities in service to the LF Edge community members and our customers.

What sort of contributions has your team made to the community, ecosystem through LF Edge participation?

Equinix has been actively engaged within the LF Edge Akraino community, serving as co-chair of the technical steering committee (TSC) and as project technical lead (PTL) for the Public Cloud Edge Interface (PCEI) Blueprint. Our contributions in the PCEI blueprint include: (i) the definition of the multi-domain architecture for interworking between mobile edge, public cloud core and edge, and 3rd-party edge applications/functions, as well as the underlying infrastructure such as data centers, compute hardware and networks, and (ii) the development of PCEI blueprint implementation for Akraino Release 4 demonstrating the use of edge multi-cloud orchestrator (EMCO, based on ONAP) for onboarding and deployment of cloud-native public cloud edge (PCE) applications from Azure IoT Edge and AWS IoT Greengrass Core on edge compute Kubernetes clusters to show end-to-end low-power wide-area (LPWA) IoT operation using 4G access and virtual evolved packet core (vEPC). We are contributing our lab infrastructure and interconnection resources and have been working closely with Microsoft, Aarna Networks, Intel, Arm, China Mobile and Verizon on integrating and demonstrating the initial PCEI blueprint.

What do you think sets LF Edge apart from other industry alliances?

LF Edge/Akraino is involved in a very diverse set of blueprints targeting enterprises, telcos and clouds while also interworking with other organizations and communities, such as ORAN, 3GPP, CNCF, LF Networking, TIP, ETSI and MEF. There are today over 30 active blueprint projects in Akraino. The breadth and depth of these use cases are unique in the industry, but the most important point is that these blueprints are not built in a vacuum – they align and make use of the upstream code and standards, showing running deployments where these architectures and interfaces are implemented.

How will LF Edge help your business?

We think that the LF Edge community will find it beneficial to make use of Equinix infrastructure and services that can help support edge deployments and applications. These capabilities include our data centers, interconnection fabric providing access to many networks, clouds and customers, bare metal hardware and orchestration and our virtualized network functions.

What advice would you give to someone considering joining LF Edge?

First and foremost, we believe it’s important to be aligned with the vision and charter of LF edge and have a good understanding of the various projects in order to effectively engage with the community and be prepared to contribute, e.g., by providing code or development resources, or integration/lab resources. One of the most remarkable aspects about LF Edge is the level of commitment, dedication and professionalism of the individuals who make up our community. The work being done on creating and demonstrating the blueprints is mainly on a volunteer basis, in addition to our primary jobs. We believe it’s this type of collaborative efforts (which take long hours, patience and trust) that will continue to drive technology innovation for edge computing for the years to come.

To find out more about LF Edge members or how to join, click here.

To learn more about Akraino, click here. Additionally, if you have questions or comments, visit the LF Edge Slack Channel and share your thoughts in the #akraino, #akraino-help, #akraino-tsc and #akraino-blueprints channels.

Predictions 2021: Open Edge & Networking

By Blog, LF Edge, Trend

Written by Arpit Joshipura is General Manager, Networking, Edge & IoT at the Linux Foundation

 

As we wrap up 2020, I wanted to take a moment to look at where the industry is headed and what we’ve learned this year. 

Telecom & Cloud ‘Plumbing’ based on 5G Open Source will drive accelerated investments from top markets (Government, Manufacturing, and Enterprises) 

This broad acceptance of open networking stacks shows the true power of what is possible when fat, fast, and functional features are at your fingertips. See information on ONAP’s Guilin release, EdgeX Foundry’s Hanoi release, and this recent post from FierceTelecom.

The Last piece of the “open” puzzle will fall in place: Radio Access Network (RAN)

The final closed architecture in the 148- year- old Telecom industry — the RAN — is finally open!  2021 will bring the first build-outs of open RAN technology in close collaboration with Edge and Core. Visit the O-RAN Software Community for more information. 

Remote Work” will continue to be the greatest positive distraction, especially within the open source community

LFN and LFE saw about 25-40% Growth in Developers and Contribution during 2020, and we expect the pace to pick up to almost 50% as more vertical industries embrace open source technologies. See Software Defined Vertical Industries: Transformation Through Open Source, a Linux Foundation white paper. 

“Futures” (aka bells and whistle features & future-looking capabilities) will give way to “functioning blueprints”  

Open source interoperability, compliance & verification for rapid deployment becomes the highest priority in 2021 beyond software. See the latest Blueprints from LF Edge’s Akraino project, as well as information on OPNFV + CNTT’s latest integrations.

AI/ML technologies become mainstream 

Closed loop control in an Intelligent Network paves the way for Intent-based Networking, and Predictive Maintenance emerges as a top use case in Edge using AI/ML.  What do you expect 2021 will bring to the open networking and edge table?

What did I miss? I would love to have your comments on LinkedIn.

LF Edge Member Spotlight: OSIsoft

By Blog, Fledge, LF Edge, Member Spotlight

The LF Edge community is comprised of a diverse set of member companies and people that represent the IoT, Enterprise, Cloud and Telco Edge. The Member Spotlight blog series highlights these members and how they are contributing to and leveraging open source edge solutions. Today, we sit down with Daniel Lazaro, Senior Technical Program Manager at OSIsoft, to discuss the importance of open source, collaborating with industry leaders in edge computing, their contributions to Fledge and the impact of being a part of the LF Edge ecosystem.

Can you tell us a little about your organization?

Since 1980, OSIsoft has focused on a single goal: getting operations data into the hands of industrial professionals so that they have the information they need to reduce costs, increase productivity and transform business. Decades ago, before the modern internet, big data, or AI arrived on the scene, the company’s flagship PI System software became known for breaking ground as a historian: a database used by engineers in an operational environment that captures streaming, time-series data that reflects the state of the physical equipment (assets).

Over time, the PI System has expanded to meet modern industrial needs, allowing not only operations staff but also executives, software developers, data scientists and others to understand, share, and make decisions based on highly curated operations data. With its addition of edge and cloud-based capabilities, the PI System now makes this essential data accessible, usable and valuable to people, systems and communities of customers, suppliers and partners across and beyond the enterprise.

Why is your organization adopting an open source approach?

Open source enables collaboration and integration of heterogeneous technologies across organizational boundaries. Moreover, it provides a platform for innovation to create solutions designed to address technical and business challenges such as those at the edge. Our CEO and founder Pat Kennedy saw the opportunity for an open source approach to address such challenges at the edge and started Dianomic. We believe that open source is the fast track to innovation. Industrial systems are unique in the number of protocols, data mappings and overall diversity. Open source can uniquely address these edge computing challenges by collaborating on code that all participants can access, modify and expand upon.

Why did you join LF Edge and what sort of impact do you think LF Edge has on the edge, networking, and IoT industries?

Zededa introduced Dianomic to LF Edge before its inception. As a result, Dianomic and OSIsoft joined as founding members. The original idea was and remains to build a thriving open source industrial community. This is a challenge to the Linux Foundation in that industrial companies have not been traditional open source users. The operations (OT) side of the Industrial market tends not to be software/compute experts, they are machine, manufacturing and process experts.

LF Edge curates several open source projects and a community around them that addresses the challenges of edge computing in a wide range of vertical markets at the edge of the network. This framework provides a collaboration platform for organizations to build non-differentiating infrastructure for solutions at the edge driven by inherent tradeoffs between the benefits of centralization and decentralization.

LF Edge plays a critical role helping accelerate deployments of Industrial IoT enabling and expanding visibility of previously untapped aspects of operations.

What do you see as the top benefits of being part of the LF Edge community?

In the LF Edge community, we see a group of like-minded organizations willing to work together. By collaborating through open source, we join forces to build the framework and ecosystem for the future of edge computing. Each project targets different pieces of the puzzle or building blocks to assemble in order to address the complexities encountered at the edge. Divide and conquer, focus, specialize and thrive. The community ecosystem provides learning and growing opportunities and a better together experience. At the same time, it enables exciting new revenue opportunities for new types of services and customers.

What sort of contributions has your team made to the community, ecosystem through LF Edge participation?

As a Premier member of LF Edge, OSIsoft actively influences the strategic and technical direction of LF Edge as voting members of the Governing Board and technical advisory council. OSIsoft brings its industrial perspective and expertise to LF Edge and contributes its vision working with different committees and through public speaking at various LF Edge related events. Our contributions play an important role in nurturing and growing a community of end users across various industry verticals within LF Edge. The end user vertical solution group kicked off October, 2020 with presentations by industrial companies showcasing valuable use cases implementing solutions using LF Edge projects.

We believe that the industrial edge has a different set of requirements that are better addressed with a specialized approach tailored to its specific needs, namely Fledge. The thriving and growing Fledge community of industrials has contributed back code to the project already deployed in production environments today. This adds to the previous contributions by service providers, system integrators, OEMs such as Dianomic, OSIsoft and Google to name a few. Fledge started when Dianomic contributed the entire FogLAMP stack in winter of 2019. At that time, the code was in its 8th release and had been commercially deployed in energy, manufacturing and mining operations.

Fledge works closely with other LF Edge projects such as EVE and Akraino. EVE provides system and orchestration services and a container runtime for Fledge applications and services. Together industrial operators can build, manage, secure and support both Supervisory Control and Data Acquisition (SCADA) and non-SCADA connected machines, IIoT and sensors as they scale. Fledge is also integrated with Akraino, as both projects support the roll out 5G and private LTE networks.

What do you think sets LF Edge apart from other industry alliances?

Traditionally, alliances have focused on delivering recommendations, guidelines or standards Instead, LF Edge focuses on delivering reference implementations in the form of quality open source software ready for adopters to integrate in their solutions. The strong communities of end users and developers around the software that customize, integrate, implement and contribute back to the projects sets LF Edge apart.

How will LF Edge help your business?

The LF Edge framework lowers the barrier to adoption of edge computing solutions translating in increased industrial implementations that enable new use cases that were not technically possible or cost effective before. This allows OSIsoft customers to rapidly expand their real-time data infrastructure to new systems and devices in industry and operations for greater visibility into operations and business, faster decisions and higher value.

Moreover,  LF Edge enables the expansion to new market opportunities through technical solutions as well as its communities of end users and vertical solutions. LF Edge governance provides customers with confidence that the projects within the framework are developed with broad industry support and openness without vendor lock-in.

Finally, access to a large developer community and marketing efforts are opportunities to share resources and drive down costs.

What advice would you give to someone considering joining LF Edge?

Get familiar with the framework and ecosystem of projects. You can start by checking the website and read the various resources available, white papers and documentation provided by the community. Identify the projects, groups and communities that align with your organization’s goals. Join the relevant groups and communities, mailing lists and calls, listen in and learn and when you are ready participate and contribute. If you identify gaps or have solutions that can enrich the current ecosystem, bring them on. Contributions come in many shapes, not just code, and they are the means to drive direction and influence within LF Edge.

To find out more about LF Edge members or how to join, click here. To learn more about Fledge, click here. To see use cases for Fledge, check out these videos. Additionally, if you have questions or comments, visit the LF Edge Slack Channel and share your thoughts in the #fledge, #fledge-help or #fledge-tsc channels.

Open Networking & Edge Summit: Distributed but always Connected

By Blog, LF Edge

This year, hundreds of professionals spanning the telecom, IoT and edge industries came together at Open Networking and Edge Summit, which took place virtually September 28-30.

Hosted by the Linux Foundation, LF Edge and LF Networking, there were 1,778 registrations (1,322 for the live event and an additional 456 to date for post-event platform access to content and technical showcase). Those attendees that joined live hailed from 523 organizations in 71 countries around the globe with 54% from the United States, Canada, and Mexico. 

51% of attendees spent 10 or more hours on the virtual event platform, and over 68% of attendees spent 4 or more hours on the platform. 69% were first-time Open Networking & Edge Summit attendees. To learn more about the event, check out the 2020 post-event report here

If you missed it, you can find the entire Open Networking & Edge Summit playlist here, which includes keynote presentations, lightning talks, in-depth tutorials, panel discussions and project and use case sessions.  

Arpit Joshipura, General Manager of Networking, IoT and Edge at the Linux Foundation, kicked off the event with a keynote that highlighted the five hard questions answered by LF Edge and LF Networking. 

  1. Why Open Source?
  2. Standards or Open Source?
  3. Why Contribute?
  4. POC to Production?
  5. Money?

Keynotes Day 1

LF Edge projects were featured in sessions:  

Your Path to Edge Computing with Akraino: https://youtu.be/_UCaQzachuM

Akraino TSC Co-Chairs Kandan Kathirvel (AT&T) and Tina Tsou (Arm) shared details about the Akraino R2 blueprints and R3 community goals, how to engage and contribute and demos of certain blueprints. 

How Akraino is Used (Panel Discussion): https://youtu.be/4kecTzrUdsI

Akraino TSC Co-Chair Tina Tsou (Arm), Sha Rahman (Facebook), Changming Bai (Alibaba), Mark Shan ( Tencent) and Yongsu Zhang and Hechun Zhang (Bytedance) shared end user stories and opinions on how Akraino is used in 5G, the AI Edge, Connected Vehicle, mixed reality AR/VR, and Private LTE/5G.

Serverless in Akraino: https://youtu.be/7Bosql0T5K8

Tapio Tallgreen (Nokia) decided to use the Akraino uMEC project in junction which is the biggest hackathon in Europe. Their concept was to use a scaled-down version of a smart city, with sensors and servers running in lightpoles. All servers were in the same k3s cluster and connected to the Internet. He wanted to make it possible for developers to create applications that can run on the cluster, and do it in 48 hours or less! This presentation details their journey to leveraging OpenFAAS Cloud as the user management and what we learned.

Self Checkout Theft Detection Showcase Using EdgeX Foundry: https://youtu.be/EQyQRFRsz0o

EdgeX Foundry Vertical Solutions Chair Henry Lau (HP) gave a presentation about how HP teamed up with other LF Edge members to demonstrate solving complex retail problems with an EdgeX Foundry powered HP Retail IoT Gateway. By making use of self-checkout theft detection use case, it showcased the ability to bring together multiple sensor data streams using EdgeX industry-leading open framework that is cloud-agnostic and sensor-agnostic.

Building the Android for the IoT Edge with Project EVE: https://youtu.be/0lchg7slk1k

ZEDEDA’s Roman Shaposhnik and LF Edge Governing Board member Jason Shepherd highlighted the key challenges of edge computing, the unique requirements of the IoT edge and why EVE is critical for IoT scale by serving as an open, standardized edge computing engine. We will host a brief demo and talk to what’s next, including integrating EVE with Kubernetes to extend the benefits from the data center to the IoT edge.

Living on the Edge to Meet Today’s Demands (Panel Discussion): https://www.youtube.com/watch?v=rWWjZ4nEMfs&list=PLbzoR-pLrL6psbdaoF_E1pE-2dRhroc_T&index=72

In this panel, LF Edge Outreach Chair Balaji Ethirajulu (Ericsson),  EdgeX Foundry Chair of the Security Committee Malini Bhandaru (VMware), Roman Shaposhnik (ZEDEDA) and Akraino TSC Co-Chair Tina Tsou (Arm) discussed:

  • Edge use cases being addressed to satisfy the industry need
  • Collaboration between the LF Edge Projects and scope of each project
  • How to engage and contribute to each project

How LF Edge Powers the IoT Vertical Across the Stack (Panel Discussion): https://youtu.be/nZSNYDwK3Xc 

In this panel, LF Edge Board member Thomas Nadeau (Red Hat), EdgeX Foundry Chair of the Security Committee Malini Bhandaru (VMware), LF Edge Governing Board member Jason Shepherd (ZEDEDA), LF Edge Governing Board member Daniel Lazaro (OSISoft) and LF Edge Governing Board member Vikram Siwach (MobileedgeX) discussed contributions and cross-project synergies across Akraino, Baetyl, EdgeX Foundry, Fledge, Glossary, and HomeEdge. 

LF Edge/LF Networking Pavilion

As co-hosts, LF Edge and sister umbrella project LF Networking teamed up to present a pavilion at Open Networking and Edge Summit that showcased different technologies and use cases. Between 100-150 attendees visited the booths to download materials and watch demo videos. You can find the LF Edge demo videos on our Youtube Channel

Feedback from attendees was positive, with an overall average satisfaction rating of over 95%. 97% said they plan to attend a future Open Networking & Edge Summit, and 94% said they would recommend it to a friend or colleague. We’re in the process of planning next year’s event…stay tuned for more details!

Edge Excitement! Innovation & Collaboration (Q4 2020)

By Blog, LF Edge, Open Horizon

Written by Ryan Anderson, Member and Contributor of LF Edge’s Open Horizon Project and IBM Architect in Residence, CTO Group for IBM Edge

This article originally ran on Ryan’s LinkedIN page

Rapid innovation in edge computing

It is an exciting time for the edge computing community! Since my first post April 2019, we are seeing a rapid acceleration of innovation driven by the convergence of multiple factors:

·     a convergence towards shared “mental models” in the edge solution space;

·     the increasing power of edge devices – pure CPU, as well as CPU plus GPU/VPU;

·     enormous investments in 5G infrastructures by network and communications stakeholders;

·     new collaborations across several IT/OT/IOT/Edge ecosystems;

·     increasing participation in, and support for, open source foundations such as LF Edge, by major players; and

·     widespread adoption of Kubernetes and Docker containers as a core layer of the edge.

With this convergence, innovation and accelerating adoption, Gartner’s prediction that 75% of enterprise-generated data will be created and processed at the edge, appears prescient.

Edge nodes – from datacenters to devices 

Much like “AI” and “IT” – edge computing is a broad and nebulous term that means different things to different stakeholders. In the diagram below, we consider four points of view for edge:

  1. Industrial Edge
  2. Enterprise Network Cloud Edge
  3. 5G / Telco Edge
  4. Consumer and Retail Edge
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This model illustrates a few key ideas:

·     Some edge use cases fall squarely within one quadrant – whereas others span two, or sometimes three.

·     Solution mapping will help shape architecture discussions and may inform which stakeholders should be involved in conversations.

·     Edge can mean very different things to different people; and consequently, value propositions (and ROI/KPI) will also vary dramatically.

Technology tools for next generation edge computing must be flexible enough to work across different edge quadrants and work across different types of edge nodes.

Terminology. And what is edge computing?  

At IBM our edge computing definition is “act on insights closer to where data is created.”

We define edge node generically as any edge device, edge cluster, or edge server/gateway on which computing (workload, applications, analytics) can be performed, outside of public or private cloud infrastructure, or the central IT data center.

An edge device is a special-purpose piece of equipment that also has compute capacity integrated into that device on which interesting work can be performed. An assembly machine on the factory floor, an ATM, an intelligent camera or a next-generation automobile are all examples of edge devices. It is common to find edge devices with ARM or x86 class CPUs with one or two cores, 128MB of memory, and perhaps 1 GB of local persistent storage.

Sometimes edge devices include GPUs (graphics processing unit) and VPUs (vision processing units) – optimized chips that are very good for running AI models and inferencing on edge devices.

Fixed function IOT equipment that lack general open compute are not typically considered edge nodes, but rather IOT sensors. IOT sensors often interoperate with edge devices – but are not the same thing, as we see on the left side of this diagram.

 

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An edge cluster is a general-purpose IT computer located in remote premises, such as a factory, retail store, hotel, distribution center or bank, for example – and typically used to run enterprise application workloads and shared services.

Edge nodes can also live within network facilities such as central offices, regional data-centers and hub locations operated by a network provider, or a metro facility operated by colocation provider.

An edge cluster is typically an industrial PC, or racked server, or an IT appliance.

Often, edge clusters include GPU/VPU hardware.

Tools for devices to data centers

IBM Edge Application Manager (IEAM) and Red Hat have created reference architectures and tools to manage the workload cross CPU and GPU/VPU compute resources.

Customers want simplicity. IEAM can provide simplicity with a single pane of glass to manage and orchestrate workloads from core to edge, across multiple clouds.

For edge clusters running Red Hat OpenShift Container Platform (OCP), a Kubernetes-based GPU/VPU Operators, solves the problem of needing unique operating system (OS) images between GPU and CPU nodes; instead, the GPU Operator bundles everything you need to support the GPU — the driver, container runtime, device plug-in, and monitoring with deployment by a Helm chart. Now, a single gold master image covers both CPU and GPU nodes.

Caution: Avoid fragmentation and friction with open source

This is indeed an exciting time for the edge computing community, as seen by the acceleration of innovation and emerging use case and architectures.

However, there is an area of concern as relates to fragmentation and friction in this emerging space.

Because the emerging edge market is enormous, there is a risk that some incumbents or niche players may be tempted to “go it alone,” trying to secure and defend a small corner (fragment) of a large space with a proprietary solution. If too many stakeholders do this – edge computing may fail to reach its potential.

This approach can be dangerous for companies for three reasons:

(1)  While isolated walled-garden (defensive) approach may work short term, over time isolated technology stacks may get left behind.

(2)  Customers are increasingly wary of attempts to vendor lock in and will source more flexible solutions.

(3)  Innovation is a team sport (e.g. Linux, Python).

Historically, emergent technologies can also encounter friction when key industry participants or standards organization are not working closely enough together (GSM/CDMA; VHS/Beta or HD-DVD/Blu-ray; Industrial IOT; Digital Twins).

So, what can we do to encourage collaboration?

The answer is open source.

Open source to reduce friction and increase collaboration

The IBM Edge team believes working with and through the open source community is the right approach to help edge computing evolve and reach its potential in the coming years.

IBM has a long history and strong commitment to open source. IBM was one of the earliest champions of communities like Linux, Apache, and Eclipse, pushing for open licenses, open governance, and open standards.

IBM engineers began contributing to Linux and helped to establish the Linux Foundation in 2000. In 1999, we helped to create the Apache Software Foundation (ASF) and supported the creation of the Eclipse Foundation in 2004 – providing open source developers a neutral place to collaborate and innovate in the open.

Continuing our tradition of support for open source collaboration, IBM and Red Hat are active members of Linux Foundation LF Edge;

  • LF Edge is an umbrella organization for several projects that aims to establish an open, interoperable framework for edge computing independent of hardware, silicon, cloud, or operating system.
  • By bringing together industry leaders, LF Edge will create a common framework for hardware and software standards and best practices critical to sustaining current and future generations of IoT and edge devices.
  • Fostering collaboration and innovation across the multiple industries including industrial manufacturing, cities and government, energy, transportation, retail, home and building automation, automotive, logistics and health care
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IBM is an active contributor to Open Horizon – one of the LF Edge projects – and the core of IBM Edge Application Manager; LF Edge’s Open Horizon is an open source platform for managing the service software lifecycle of containerized workloads and related machine learning assets. It enables autonomous management of applications deployed to distributed webscale fleets of edge computing nodes – clusters and devices based on Kubernetes and Docker – all from a central management hub.

Open Horizon is already working with several other LF Edge projects including EdgeX Foundry, Fledge and SDO (Secure Device Onboard)

SDO makes it easy and secure to configure edge devices and associate them with an edge management hub. Devices built with SDO can be added as an Edge Node by simply importing their associated ownership vouchers and then powering on the edge devices.

Additional Resources for Open Horizon

Open-Horizon documentation: https://open-horizon.github.io

Open-Horizon GitHub (source code): https://github.com/open-horizon

Example programs for Open-Horizon: https://github.com/open-horizon/examples

Open-Horizon Playlist on YouTube: https://bit.ly/34Xf0Ge