Edge

Bring AI technology into Edge cloud computing

Akraino KubeEdge blueprint project builds real world Edge computing user cases based on KubeEdge. The first case of this project is ML Offloading. With Artificial Intelligence democratized into mobile phones, the computing resource limitation of mobile devices is increasingly a concern. More and more apps running on mobile phones have to offload ML related operations, starting with the public cloud. Offloading to edge is a natural thought for latency and data security considerations.

Experience level:

Beginner

The Open Source Way

Pushing Semantic Digital Twins and Bots to the Edge with Kura, Kapua and RDF4J to control distributed SmartGrid systems

Alexey Ivanov (MIPT University, Laboratory of Applied Research)

Traditional IoT Gateways often serve as a proxy between devices and a Cloud where all control operations take place. It mainly requires time-series dataflow processing.

Coordination and control operations require a stateful model of the observed environment in terms of high-level business objects (“as is” and “to be”), derived from low-level sensor data. Eclipse Ditto or other Digital Twins As a Service systems could be used on the Cloud to store and query a state of devices and assets and decouple it from implementation details of drivers and protocols.

Experience level:

Intermediate

IoT & Edge

What Edge Computing Can Learn From the Moon Landings

Frédéric Desbiens (Eclipse Foundation)

2019 marked the 50th anniversary of the first moon landing. Decades later, the Apollo program still stands as one of humanity's most impressive technical achievements. To think that we sent people in the void of space using a computer running at 1.024MHz and around 76K of memory!

Experience level:

Intermediate

IoT & Edge

Eclipse Arrowhead architecture and platform for industrial automation

Jerker Delsing (Lulea University of Technology)

This session targets beginners to the Eclipse Arrowhead project. Some understadning of software and/or automation will be beneficial for the attende.

Experience level:

Beginner

IoT & Edge

A open source way - From Cloud Native to Edge Native

Zhengguang Ou (Huawei)

Zefeng Wang (Shanghai Huawei Technologies Co., Ltd.)

Edge computing is emerging, and many open source organizations have edge projects, such as Linux Foundation Edge, CNCF, and Eclipse as well. There should be more cooperation between open source community to provider more efficient solution for customers. As we know that many excellent IoT projects in Eclipse, therefore, we will introduce the Eclipse IoT Packages integration with CNCF KubeEdge, which a cloud native project in edge.

Experience level:

Beginner

IoT & Edge

Developing IoT Edge - the Eclipse way

Dejan Bosanac (Red Hat, Inc.)

Lately, many IoT use cases evolve toward the Edge architectures. We'll start the session by exploring these use cases and accommodating architectures, trying to summarize all pros and cons of adopting them.
Eclipse IoT and Edge communities already provide many projects that are well established and solve many problems in their respectable domains. But there is an opportunity for more integration that would provide a better off-the-shelf IoT Edge experience.

Experience level:

Intermediate

IoT & Edge

Edge Computing Is Not Just Hype: Real World Solutions with Eclipse ioFog (Invited Talk)

Todd Papaioannou (Edgeworx, Inc.)

Edge computing is all the rage right now. Some people even say it is more important for the future of IT than cloud computing itself. Is this real, or is this just hype? In theory, edge computing helps solve the challenges of bandwidth, latency, resiliency, and data sovereignty. Those benefits, however, will be hard to realize in the real world if you rely on a platform built by people just riding a wave. You need a real platform with real users, rooted in lessons from the trenches.

Experience level:

Beginner

IoT & Edge

Usable Stacks: Reference Architectures from Edge to Cloud

Kilton Hopkins (Edgeworx, Inc.)

This session will walk through several reference architectures that solve common edge and IoT situations. The audience will gain a solid understanding of how to place many popular Eclipse IoT technologies in a software stack and form a complete set of solutions.

Experience level:

Intermediate

IoT & Edge

YAKS: The Geo-Distributed Key Value Storage

Angelo Corsaro (ADLINK Technology)

With the raise of Edge and Fog Computing there is a growing need to maintain data locally, or at least as close as possible to where it is produced, while at the same time making it accessible globally. Yet, existing storage technologies are geared toward cloud-centric deployments, in which a pool of servers is used to shard and replicate the data. As a result there is a mismatch between the storage needs of Edge and Fog Computing applications and available technologies.

Experience level:

Beginner

IoT & Edge

Edge computing - the way forward for Eclipse IoT

Dejan Bosanac (Red Hat, Inc.)

Kilton Hopkins (Edgeworx, Inc.)

The recent trend of cloud-native computing and microservices architectures have taken developers by the storm. But what if we want to move our services closer to devices and users that generate and use data? Enter the Edge computing, trying to extend cloud-native computing beyond the centralized data centers. In this session, we'll try to get you interested in this topic, talking about why and how you can start introducing Edge computing in your IoT projects.

Experience level:

Intermediate

IoT & Edge

The Eclipse IDE 2020-06 is now available!