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This tutorial session aims to provide attendees with a comprehensive understanding of building machine economies using blockchain technology and the Internet of Things (IoT). It is designed to cater to intermediate to advanced participants with a basic understanding of blockchain technology and Web3, IoT concepts, and some programming proficiency.
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For data economy to reach its full potential, having trust among participants is one of the essential cornerstones. But how does one get trust in the digital world of today? That’s where Gaia-X comes in, and it starts with transparency.
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Vaadin is a popular framework to create web-based UI's in Java. Though it already supports OSGi, it lacks of a support for OSGi services. Especially the whiteboard pattern, is well known in the OSGi topic and is used in several specifications.
So, wouldn't it be cool, to create Vaadin UI components within an OSGi Declarative Service Component and benefit from the DS injection? You could use dependend service directly in you UI code. The Vaadin Whiteboard composes everything to a Vaadin PWA.
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This talk dives into the updated OSGi Type Safe Events 1.1 specification, which incorporates valuable enhancements based on insights gained from the re-engineering of Eclipse sensiNact. Attendees will discover the evolution of Type Safe Events and learn about the new features and improvements introduced in version 1.1. By examining the lessons learned from sensiNact’s internal notification layer, we will explore how the updated specification addresses the challenges in event-driven systems.
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This session will briefly introduce the concept of re-usable AI building blocks (AI modules) based on Docker containers and protobuf interface specifications. It will also explain the separation of the configuration part and the execution part by demonstrating the public AI playground. Then several concrete examples of AI pipelines and use cases will be presented. All this is based on the Eclipse Graphene project. The session finishes with an outlook to the upcoming features like reproducibility and benchmarking.
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Eclipse Store is a unique storage technology that stores Java object-graphs natively, which means similar as they are in the RAM, without expensive transformation to any incompatible data structure. That is the key difference to all database systems and provides you with fantastic benefits.
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Android's robust security infrastructure makes it viable for various embedded systems and IoT devices. Even if Android supports OpenJDK, porting and successfully building an existing code base to Android may be very challenging, especially if the project involves a particular, more advanced, Open JDK version and/or a lot of external dependencies. Running the application/service in a Docker container can be valuable in this scenario. This session will discuss hacks to have Docker running on Android OS and run non-Android builds of a project/application in a containerized environment.This approach can benefit the adoption of Eclipse Projects in an Android-based embedded operating system.
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There are different ways to deploy a Java application. Traditionally it was a single JAR or a collection of JARs on a machine that has a matching Java Runtime installed. Today there are additional formats like a custom created JVM via jlink or a native compiled Graal Substrate. This gets especially interesting when thinking about deployment of smaller applications for processing tasks via containers in the cloud or on edge devices.
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The European Union has made strong moves to secure its digital sovereignty with a common vision for 2030, based on enabling a fairer European Cloud Market with vastly improved data connectivity infrastructures. To have the Open data ecosystems and secure data infrastructure that the EU Data Strategy with Data Act, Digital Market Act & Digital Services Act dictates, both open and portable Data and Cloud Services are required.
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Use a simulator to create a virtual environment for training a digital twin for autonomous vehicles. The simulator can be used to create a variety of environments and weather conditions. A combination of real-world and simulated data can be used to train the autonomous vehicle Twins. By using simulations, control systems can experience situations and we can create highly effective & mature assets.
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