Internet of Things
IoT Projects in FLOSS Foundations
A report based on communities data
A data based analysis of IoT Projects in FLOSS Foundations
In the last decade, Industry 4.0 has emerged as a revolution for the traditional technology, and the Internet of Things (IoT) is at the core of it. Apache, Eclipse and Linux foundations, three of the main actors in Open Source, have put in place their own IoT architectures powered by different Open Source projects. In this talk, these architectures are compared and a common architecture is identified based on emerging standards, with a special focus in the Edge. Then, the common architecture is used to classify the different Open Source projects.
For each project, activity and community analysis based on the data extracted from Git and Github issue trackers is achieved using the GrimoireLab platform, a powerful Open Source tool for software analytics. Finally, the data obtained is used to understand the Open Source IoT landscape in terms of companies involved, leading projects, technologies adopted and communities.
A total of 55 projects have been analyzed and all of them are classified in the categories: Edge, Cloud, Enterprise, Tools. And inside the Edge category, five subcategories are defined: OS and virtualization in devices, communication protocols, data processing, platforms for interoperability and applications. For all the projects the data for the activity (commits) and community size (people doing commits) are extracted and analyzed in time series.
The data will be presented as dashboards that all attendees can consult online and all the data could be shared with interested people for further analysis.
Alvaro del Castillo from ThingsO2
Valerio Cosentino from Bitergia
Additional information
| Type | devroom |
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More sessions
| 2/2/20 |
Welcome to the IOT devroom
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| 2/2/20 |
Some constrained embedded systems cannot use batteries, those are called transiently-powered embedded systems. They can be equipped with a non volatile RAM (NVRAM) and a super capacitor for gathering energy when available. Developing in such an environment is not straight. During this talk, we will expose our work on a constrained real time OS tolerant with power loss on a MSP430 based platform. This platform is a MSP430FR5994 Launchpad equipped with FRAM and a super capacitor.
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| 2/2/20 |
We will demonstrate how to quickly develop simple tools to: check for a GPIO state, communicate with an I2C OLED screen or gdb into a running firmware.
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| 2/2/20 |
Technical barrier to target low cost micro controllers can be too high for many developers already used to high level API. But did you know that those devices can support many operating systems like NuttX inspired by POSIX (same for Linux), but it goes even behind than C APIs, even JavaScript runtimes like IoT.js can be supported too. IoT.js can also support JS community modules such as Generic-sensor-lite to support sensors and actuators or webthing-iotjs to enable REST API for embedded ...
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| 2/2/20 |
While Machine Learning is usually deployed in the cloud, lightweight versions of these algorithms that fit for constrained IoT systems such as microcontrollers are appearing. Using Machine Learning « at-the-edge » has indeed several advantages such as the reduction of network latency, it provides better privacy, and are working offline. In this presentation, we will demonstrate how to deploy Deep Learning algorithms on IoT devices thanks to TensorFlow Lite. We will see how to use it to design ...
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| 2/2/20 |
We propose a combined visual and text-based programming environment based on the actor model suitable for novice to expert programmers. This model encompasses simple communicating entities which easily scale from utilizing threads inside the computer to massive distributed computer systems. Our proposal is very suitable for IOT scenarios, creative coding practices and rapid prototyping. The prototype utilizes zeromq transports and embeds python for easy creation of actors.
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| 2/2/20 |
We will have to talk about Tarantool Cartridge: it's framework for creating distributed applications. The application will be based on Tarantool – blazing fast in-memory database and Lua application server in one. Instances interconnect with each other by SWIM protocol – UDP Gossip protocol. We believe that our platform can bring brand new opportunities for the IoT world: we have the aggregated solution for many potential cases in IoT.
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