Background components Sample Clauses
Background components. The FIWARE3 Catalogue provides an enhanced OpenStack-based cloud environment plus a rich set of open standard APIs and OSS components that enables to the full adoption of Future Internet technologies such as Internet of Things, Big Data Analytics, Service Marketplaces, Advanced multi-media, User Interaction, and Privacy and Security Management. It aims at the creation of a sustainable ecosystem of Cloud-ready generic components – aka Generic Enablers (GE) – that may be used as the foundational building blocks of Future Internet solutions in any area, effectively supporting the new wave of digitalization of EU industry and society. The Identity Management – KeyRock is the FIWARE Generic Enabler, that covers a number of aspects involving users' access to networks, services and applications, including secure and private authentication from users to devices, networks and services, authorization & trust management, user profile management, privacy-preserving disposition of personal data, Single 3 ▇▇▇▇▇://▇▇▇.▇▇▇▇▇▇.▇▇▇ Sign-On (SSO) to service domains and Identity Federation towards applications. The Identity Manager is the central component that provides a bridge between IdM systems at connectivity-level and application-level. For end users, the IdM provides a convenient solution for registering with applications since it gives them a means to re-use attributes like address, email or others, thus allowing an easy and convenient management of profile information.
Background components. The MIDIH MindSphere Custom Agent is based on MASAI, which is an open source component based on FIWARE Generic Enablers that provides an infrastructure to support continuous data collection from IoT based resources and normally is installed at companies’ premises level. Its mission is to gather the data from the shop floor IoT devices and provide it to any Data Collector Platform or Framework. FIWARE exposes to developers Data Context elements or entities (JSON objects) with attributes and metadata with a uniform REST API, which allows MASAI to be an open source software stack aiming to bring Data-level interoperability to the complexity of standards and protocols in the world of IoT today. ▇▇▇▇▇ is able to expose all IoT devices information and commands using the Data Context API (NGSI9/10 - Next Generation Service Interface) for communicating devices with NGSI brokers or any other piece that uses the NGSI protocol. Therefore, ▇▇▇▇▇ is dedicated for the collection of data from the shop floor acting as a middleware between the IoT data producers in the shop floor and the data consumers, which can be external services. In addition, the open cloud platform from Siemens, MindSphere, is a powerful IoT operating system with data analytics and connectivity capabilities, tools for developers, applications, and services. It helps to evaluate and utilize the manufacturer’s data and to gain breakthrough insights. Driving the performance and optimization of their assets. MindSphere is a commercial platform which requires the payment of a license for its use.
Background components. The FIWARE OPC UA Agent is based on the reference implementation of the FIWARE Backend Device Management Generic Enabler, IDAS3, delivered by Telefonica I+D. IDAS provides a collection of Agents – i.e., independent processes that are typically executed in the proximity of IoT devices and that are responsible for bridging a specific IoT protocol to the NGSI standard (e.g. the IDAS distribution includes off-the-shelf Agents for LwM2M and MQTT). To this end, IDAS links the NGSI southbound API of the FIWARE Orion Context Broker to the northbound API of the IoT application stack, by providing a software library (the IoT Agent Lib)) for developing custom Agents that may extend the bridging capabilities of IDAS to other protocols. On the south bound interface, another exploited background asset is the OPC-UA JavaScript Library: among all the components available in the Node.js platform, it is the most interesting, as it offers both a client component (used in the OPC-UA JavaScript Wrapper) and a server one, that can be used to send data from the IoT devices in the shop floor to the OPC-UA JavaScript Wrapper. 3 ▇▇▇▇▇://▇▇▇▇▇▇▇▇▇-▇▇▇▇▇▇.▇▇▇▇▇▇.▇▇▇/enablers/backend-device-management-idas
Background components. The functionality of the Marketplace module integrated into the MIDIH Collaboration Platform is implemented using the FIWARE/TMForum Business API Ecosystem GE4, which is the result of the collaboration between FIWARE and the TMForum. In this regard, the Business API Ecosystem GE is a joint component made up by integrating the FIWARE Business Framework with a set of standard APIs (and its reference implementations) provided by the TMForum in its TMF API ecosystem. Business API Ecosystem GE provides sellers the means for managing, publishing, and generating revenue of their products, apps, data, and services. The APIs of this component are designed to enable repeatable and flexible integration among operations and management systems, making it easier to create, build and operate complex innovative services.
Background components. The MindSphere SDK for Java enables Java developers to work with the MindSphere IoT platform easily. It provides a Java client implementation for the RESTful MindSphere Platform APIs. The FI-MIND includes the MindSphere SDK for Java v1 in order to: • Authenticate the client (MindSphere credentials). • Create the Digital Twin on the MindSphere cloud, registering new assets (devices) and aspects (variables). • Send timeseries data for registering value updates coming from the Orion Context Broker.
Background components. The DIHIWARE Platform is grounded on two main Open Source pillars: Liferay and OPENNESS. In particular, Liferay1 has been selected since it is a widely used Open Source and state-of-the- art Content Management System. Liferay Portal is a free and open source enterprise portal software product written in Java. Liferay includes a built-in web content management system allowing users to build websites and portals as an assembly of themes, pages, portlets/gadgets and a common navigation. The second background component exploited to develop the MIDIH Collaboration Platform is OPENNESS2, an asset developed and managed by the ENGINGEERING R&D Department. This Open Source platform is able to support the collaboration among different stakeholders, such as DIH, competence centres, technology providers (SMEs), manufacturing industries (SMEs), business consultants, funding agencies, venture capitalists. In the scope of the MIDIH Collaboration Platform, the “Access to” and “Collaborate with” services defined in D3.1 – “Specification and Design of DIH one-stop-shop Marketplace 1” have been implemented by collaborative business processes supported by this specific IT tool. OPENNESS (OPEN Networked Enterprise Social Software) represents a platform fully developed using open source technologies, and leveraging principles related to Open Innovation, Collective Intelligence, Enterprise Social Software. The platform enables the development, integration and delivery of services and collaborative environments based on models of social networking and collective intelligence and provides in SaaS mode (Software- as-a-Service) features and services such as management and development of the community, knowledge management and collective experience and applications, enabling collaborative working and social analytics.
Background components. The OPENNESS platform includes several search and retrieval features to help a user quickly find information, or just to browse through content, people, and teams. Universal Search manages interactive search by inserting filters on the search bar. The users can search for specific words by simply entering the search terms to see content containing all the specified words in any order. They can find resources by person, title and content, and benefit from suggestions shown in real-time in the search box when typing the query. Furthermore, it also shows a set of tips to enrich the query that take into account the user's activities in the community.