LF Edge

Akraino

STAGE 3: IMPACT

Chair: @Yin Ding 

Co-Chair: @Haruhisa Fukano 

Aims to create an open source software stack that supports high-availability cloud services optimized for edge computing systems and applications.

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Alvarium

STAGE 1: AT LARGE

@Trevor Conn 

Project Alvarium, with initial code seeded by Dell Technologies, is aimed at building a framework and SDK for trust fabrics that deliver data from devices to applications with measurable confidence. Trust fabrics take a system-level approach by layering trust insertion technologies spanning silicon to cloud and will usher in an entire new era of business models and customer experiences driven by interconnected ecosystems. Initial contributing companies include Dell, the IOTA Foundation, Intel, Arm, VMware and ZEDEDA.

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Baetyl

STAGE 4: Emeritus

Baetyl (pronounced “Beetle”) offers a general-purpose platform for edge computing that manipulates different types of hardware facilities and device capabilities into a standardized container runtime environment and API, enabling efficient management of application, service, and data flow through a remote console both on cloud and on prem. Baetyl also equips the edge operating system with the appropriate toolchain support, reduces the difficulty of developing edge calculations with a set of built-in services and APIs, and provides a graphical IDE in the future.

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EdgeX Foundry

STAGE 3: IMPACT

@James Butcher 

EdgeX, your data liberated!  Highly flexible open source software framework that facilitates interoperability between heterogeneous devices and applications at the IoT Edge, along with a consistent foundation for security and manageability regardless of use case. 

The open, vendor-neutral platform speeds developer and technology providers time to market by providing modular reference services for device-data ingestion, normalization, analysis and sharing in support of new IoT data services and advanced edge computing applications.

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eKuiper

STAGE 1: AT LARGE

@Jiyong Huang 

eKuiper is an edge lightweight IoT data analytics/streaming software implemented by Golang, and it can be run at all kinds of resource-constrained edge devices. One goal of eKuiper is to migrate the cloud streaming software frameworks (such as Apache Spark，Apache Storm and Apache Flink) to the edge side. eKuiper helps to bring computation closer to where data is generating, with an introduced rule engine to enable streaming applications on the edge side.

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EVE

STAGE 2: GROWTH

@Erik Nordmark 

An open abstraction engine that simplifies the development, orchestration and security of cloud-native applications on distributed edge hardware. Supporting containers, VMs and unikernels, EVE provides a flexible foundation for Industrial and Enterprise IoT edge deployments with choice of hardware, applications and clouds.

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Fledge 

STAGE 3: IMPACT

@Robert Raesemann 

Fledge is an open source framework and community for the Industrial Edge.  Architected for rapid integration of any IIoT device, sensor or machine all using a common set of application, management and security REST APIs with existing industrial "brown field" systems and clouds. 

Fledge edge services include: Collect Data from any/all sensors, aggregate/combine/organize data. edge based alerting/anomaly detection/machine learning (TensorflowLIte, OpenVino), transform/filter data in flight, buffer data, analyze/visualize edge data,  and deliver data to multiple local/cloud destinations.

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Home Edge

STAGE 4: Emeritus

Interoperable, flexible, and scalable edge computing services platform with a set of APIs that can also run with libraries and runtimes.

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InfiniEdge AI

STAGE 1: AT LARGE

InfiniEdge AI is redefining technology with a pioneering open-source framework designed specifically for edge devices. By tailoring AI models to operate optimally on smartphones, smart speakers, edge cloud systems, and beyond, InfiniEdge AI enables efficient real-time applications that function independently of central servers. This innovative approach drastically cuts data traffic and significantly boosts user privacy and security.

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InstantX

STAGE 1: AT LARGE

InstantX solves the problem of asynchronous and instant data exchange across clients in the same region while offering that data for off-line processing and self-learning to derive further added-values. In the specific case of V2X data distribution, it solves the problem of mobility data fragmentation by distributing data and mobility insights across different types of traffic and transportation domains. 

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NanoMQ

STAGE 1: AT LARGE

• Ultra-Lightweight: Booting footprint is less than 200Kb in minimum feature set.

• Asynchronous I/O: Parallelize computation for IoT & MQTT with built-in actor-model.

• Multi-Threading: Scale-out easily to engage multiple cores with less CPU usage in the modern SMP system.

• Blazing Fast: Achieve million-level TPS. Up to 10 times faster than Mosquitto on a multi-core CPU.

• Cross-platform: Highly compatible and portable with any POSIX based platform.

• Interoperability: Transparent and customizable data flow. EdgeOps friendly.

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Nexoedge

STAGE 1: AT LARGE

Nexoedge (previously called nEdge-nCloud) is a reliable and efficient multi-cloud distributed storage which enables applications and devices at the edge to store data into one or more clouds. nEdge serves as a storage proxy at the edge to pre-process data for reliability and provide unified storage (over multiple cloud storage destinations) to edge applications. nEdge persists and access data in one or more clouds via nCloud, which is deployed in the clouds.

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Ocre

STAGE 1: AT LARGE

Leveraging WebAssembly and Zephyr, Ocre supports OCI-like application containers in a footprint up to 2000x lighter than Linux-based container runtimes such as Docker and Podman.

Ocre extends cloud-native principles past the “Linux barrier”, which we believe is well-aligned with where the market is headed as traditionally-embedded devices such as sensors, smart cameras, controllers, robots, drones and cars continue to get more complex to develop and maintain, increasingly leverage onboard AI, and are faced with growing security challenges.

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OpenBao

STAGE 1: AT LARGE

OpenBao is an identity-based secrets and encryption management system.

A secret is anything that you want to tightly control access to, such as API encryption keys, passwords, and certificates. OpenBao provides encryption services that are gated by authentication and authorization methods. Using OpenBao’s UI, CLI, or HTTP API, access to secrets and other sensitive data can be securely stored and managed, tightly controlled (restricted), and auditable.

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Open Horizon

STAGE 2: GROWTH

@Joseph Pearson 

Open Horizon is a platform for managing the service software lifecycle of containerized workloads and related machine learning assets. It enables management of applications deployed to distributed webscale fleets of edge computing nodes and devices without requiring on-premise administrators.

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FIDO Device Onboard

STAGE 2: Growth

@Randall F Templeton 

The mission of the FIDO Device Onboard project is to develop open source software to support an automated “Zero-Touch” onboarding service in order to more securely and automatically onboard and provision a device on edge hardware. This zero-touch model simplifies the installer’s role, reduces costs and eliminates poor security practices, such as shipping default passwords.

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State of the Edge

STAGE 2: GROWTH

@HAKAN SONMEZ 

State of the Edge is an open source research and publishing project with an explicit goal of producing original research on edge computing, without vendor bias. The State of the Edge seeks to accelerate the edge computing industry by developing free, shareable research that can be used by all.

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