The present document presents and classifies industrial use cases for AR applications and services. It forms the basis for the requirements document to be drafted ETSI GS ARF 004: Augmented Reality Framework (ARF) Interoperability Requirements for AR components, systems and services.
The Use Cases Document shall provide an overview of possible application scenarios in which Quantum Key Distribution (QKD) systems ([i.1]) can be used as building blocks for high security Information and communication technology (ICT) systems.
The present document is intended to specify an Application Programming Interface (API) between a QKD key manager and applications. The function of a QKD key manager is to manage the secure keys produced by an implementation of a QKD protocol and to deliver the identical set of keys, via this API, to the associated applications at the communication end points.
The present document gives specifications and procedures for the characterization of optical components for use in QKD systems. Examples of specific tests and procedures for performing such tests are given. Due to their importance in the security of a QKD system, particular attention is given to active optical components such as optical sources and single photon detectors.
The present document describes the main communication resources involved in a QKD system and the possible architectures that can be adopted when performing a QKD deployment over an optical network infrastructure. The scope of the present document is restricted to QKD deployments over fibre optical networks. Architectural options are also restricted to point-to-point communication.
The present document specifies a communication protocol and data format for a quantum key distribution (QKD) network to supply cryptographic keys to an application.
The present document provides a definition of management interfaces for the integration of QKD in disaggregated network control plane architectures, in particular with Software-Defined Networking (SDN). It defines abstraction models and workflows between a SDN-enabled QKD node and the SDN controller, including resource discovery, capabilities dissemination and system configuration operations. Application layer interfaces and quantum-channel interfaces are out of scope.
SAREF4CITY is an extension of SAREF for the Smart Cities domain. This extension has been created by investigating resources from potential stakeholders of the ontology, such as standardization bodies, associations, IoT platforms and European projects and initiatives. Taking into account ontologies, data models, standards and datasets provided by the identified stakeholders, a set of requirements were identified and grouped in the following categories: Topology, Administrative Area, City Object, Event, Measurement, Key Performance Indicator, and Public Service.
SAREF4INMA focuses on extending SAREF for the industry and manufacturing domain to solve the lack of interoperability between various types of production equipment that produce items in a factory and, once outside the factory, between different organizations in the value chain to uniquely track back the produced items to the corresponding production equipment, batches, material and precise time in which they were manufactured.
The Smart Applications REFerence ontology (SAREF) is intended to enable interoperability between solutions from different providers and among various activity sectors in the Internet of Things (IoT), thus contributing to the development of the global digital market.
The present document identifies the requirements that should characterise an ontology for the semantic conceptualisation of information related to IP traffic measurements. The requirements are obtained through the analysis of use cases spanning across a variety of related application categories and domains of interest, as well as the consideration of additional qualitative needs, such as the protection of personal data. Additional inputs arise from user experience, as well as the 'GS/MOI-010' Work Item study, entitled "Report on information models for IP traffic measurement" . The general difficulty of setting limits to an ontology, taking concepts from outside is also dealt within the present document that states MOI focus on IP traffic measurement concepts and let's side ontologies dealing with other subjects, an easy way to link. Thus a rather practical approach to define MOI ontology will be laid so that further QoS, traffic monitoring and Internet governance issues can be built on top of it by means of semantic tools.