LF Edge

 

Welcome to the LF Edge wiki, where you will find information with a cross project focus. For individual projects, follow the links below.

 

LF Edge is an umbrella organization 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.

We are 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 — all of which stand to be transformed by edge computing.

Questions? Please visit the FAQ.


Projects

 

Title

Technical Charter

TSC Chair

Description

Title

Technical Charter

TSC Chair

Description

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.

Mail Lists

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.

Mail Lists

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.

Mail Lists

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.

Mail Lists

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 SparkApache 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.

Mail Lists

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.

Mail Lists

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.

Mail Lists

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.

Mail Lists

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.

Mail Lists

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. 

 

Mail Lists

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.

Mail Lists

Nexoedge

STAGE 1: AT LARGE