Click on the interactive map below or utilise the filtering interface on the side to browse the items that are currently in our Standards Watch*.
The Standards Watch of StandICT.eu monitors the status of ICT standards at international level, starting from the five priority areas of the Digital Single Market: 5G communications,cloud computing,cybersecurity,data technology, and IoT – Internet of Things.
In particular, special attention is given to the rapidly evolving ICT topics of: Artificial Intelligence, Big Data, IoT.
Gradually, the Standards Watch will be expanded to other ICT domains and topics, with the aim of better identifying gaps, needs & opportunities and consequently stimulating European Experts to pursue the openings granted by the StandICT.eu initiative.
Mobile Internet services harvest data in their big data infrastructure from multiple sources and multiple data dimensions with characteristics including scale, diversity, speed and possibly others like credibility or business value. Big data analysis drives nearly every aspect of mobile Internet services to improve service quality and user experience.
Recommendation Y.3600 provides requirements, capabilities and use cases of cloud computing based big data as well as its system context. Cloud computing based big data provides the capabilities to collect, store, analyze, visualize and manage varieties of large volume datasets, which cannot be rapidly transferred and analysed using traditional technologies.
Recommendation ITU-T Y.3519 describes the functional architecture for big data as a service (BDaaS). The functional architecture is defined on the basis of the analysis of requirements and activities of cloud computing-based big data described in Recommendation ITU-T Y.3600.
In a mobile network, a great deal of traffic data which reflects the real status of the mobile network and customers' actual experience is generated all the time. Based on the big data generated from the mobile network more efficient management and reasonable planning of mobile networks can be achieved.
Recommendation ITU-T Y.3601 provides a framework for data exchange in a big data ecosystem. Big data exchange covers multiple processes for data import and data export within a big data ecosystem. Big data exchange is used for exchanging data of multiple types and multiple formats from a data source to a data target.
This Recommendation specifies framework of big data driven networking. The scope of this recommendation includes the model architecture of big data driven networking (bDDN), the high-level capabilities of bDDN, the interface capabilities among different planes and layers.
Recommendation ITU-T F.743.7 specifies requirements for visual surveillance enhanced by big data (VSBD) services. It promotes the value of visual surveillance services by using big data analytics method and tools. Massive video, event and sensing data are analysed to support enhanced visual surveillance services, including video retrieval, event detection and status prediction.
Recommendation ITU‑T Y.3602 describes a model and operations for big data provenance. Also, this Recommendation provides the functional requirements for big data service provider (BDSP) to manage big data provenance. The reliability of data is an important factor in determining the reliability of the analysis result. Data provenance aims to ensure the reliability of data by providing transparency of the historical path of the data.
The present document defines guidance to the providers and standard makers to ensure that each service component is provided with the information needed by the user to make an informed choice. It addresses all the dimensions of ACIFO to the supplier, in order to produce the APIs according to the user expectations and whatever the number and types of additional suppliers.
The present document describes the service provision to be addressed by designers and implementers of the digital ecosystem to ensure that the means by which users interact with the digital ecosystem is consistent across device types, and meet the preferences of the user. The present document addresses the role of the user accessing services in the digital ecosystem with multiple formats of device.