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.
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.
The purpose of this Recommendation is to specify requirements and capabilities of the IoT for Big Data. This Recommendation complements the developments on common requirements of the IoT [ITU-T Y.2066] and functional framework of the IoT [ITU-T Y.2068] in terms of the specific requirements and capabilities that the IoT is expected to support in order to address the challenges related to Big Data. Also, it constitutes a basis for further standardization work (e.g. functional entities, APIs and protocols) concerning Big Data in the IoT.
This draft Recommendation presents the high-level requirements and reference framework of Smart City Platform (SCP). The SCP is a fundamental platform supporting all the services and applications of a smart city, with the objective to improve quality of life, provide urban operation and services for the benefit of the citizens while ensuring city sustainability.
Recommendation ITU-T Y.3518 provides the overview of inter-cloud data management and its functional requirements. It describes typical use cases and specifies functional requirements for three aspects, namely inter-cloud data policy, inter-cloud data isolation and protection, as well as inter-cloud data management, which are derived from the corresponding use cases.
Draft M.rcsm: Requirements for Cloud Service Management in Cloud-Integrated Telecom BSS/OSS
Draft Recommendation ITU-T Y.cccsdaom-reqts: Cloud computing - Requirements for cloud service development and operation management
Draft new Recommendation ITU-T Y.ccecm: "Cloud Computing - Requirements of edge cloud management"
Recommendation ITU-T F.743.8 specifies the requirements for a cloud computing platform supporting visual surveillance. Cloud computing is an emerging technology aimed at providing various computing services over the Internet. Using virtualization technology, a cloud computing platform realizes a ubiquitous and flexible shared resources pool that can be rapidly provisioned and released with minimal management effort or service-provider interaction based on the needs of users. By using the cloud computing technology, the visual surveillance system can conveniently manage various functional components and services, such as video distribution, video transcoding and intelligent video processing. This Recommendation provides the application scenarios and requirements for a cloud computing platform supporting a visual surveillance system.
Recommendation ITU-T Y.3512 describes the concept of Network as a Service (NaaS) and its functional requirements. It provides typical use cases of NaaS and specifies the functional requirements of three aspects, ranging from NaaS application, NaaS platform and NaaS connectivity which are based on the corresponding uses cases and cloud capabilities types.
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.
Recommendation ITU-T Y.3511 describes the framework for interactions of multiple cloud service providers (CSPs), which is referred to as inter-cloud computing. Based on several use case, and after considering the different types of service offerings, this Recommendation describes the possible relationships (peering, federation or intermediary) among multiple CSPs. By introducing the concept of primary CSP and secondary CSP, the Recommendation further describes CSP interactions for the cases of federation and intermediary patterns. Finally, relevant functional requirements are derived.
