Standard

This Recommendation specifies the functional requirements of end-to-end (E2E) cloud service lifecycle management. This Recommendation comprises the following:

– cloud service lifecycle metadata;

– cloud service lifecycle management framework;

– cloud service lifecycle management stages;

– relationship with cloud computing reference architecture;

– functional requirements and typical use cases of cloud service lifecycle management.

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

Big Data is a term used to describe the large amount of data in the networked, digitized, sensor- laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is outpacing scientific and technological advances in data analytics. To advance progress in Big Data, the NIST Big Data Public Working Group (NBD-PWG) is working to develop consensus on important, fundamental concepts related to Big Data. The results are reported in the NIST Big Data Interoperability Framework (NBDIF) series of volumes. This volume, Volume 7, contains summaries of the work presented in the other six volumes, an investigation of standards related to Big Data, and an inspection of gaps in those standards.

Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is outpacing scientific and technological advances in data analytics. To advance progress in Big Data, the NIST Big Data Public Working Group (NBD-PWG) is working to develop consensus on important, fundamental concepts related to Big Data. The results are reported in the NIST Big Data Interoperability Framework series of volumes. This volume, Volume 6, summarizes the work performed by the NBD-PWG to characterize Big Data from an architecture perspective, presents the NIST Big Data Reference Architecture (NBDRA) conceptual model, and discusses the components and fabrics of the NBDRA.

This standard discusses the simulation of the movement of joints and subsequent changes of skin, muscle, and neighboring structures. It defines joint range of motion, movement, and structure of skeleton for rigging work. Additionally, it reviews simulation devices such as haptic devices or software and hardware based on reality augmented equipment.

This standard defines the Bio-CAD format for three-dimensional (3D) Printing based on Sectional Scan image data containing surface and volumetric information. Standardization is related to medical 3D printing services, including anatomic, pathologic models and medical instrument printing based on two-dimensional images, three-dimensional medical data and other medical data.

Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. The growth of data is outpacing scientific and technological advances in data analytics. Opportunities exist with Big Data to address the volume, velocity and variety of data through new scalable architectures. To advance progress in Big Data, the NIST Big Data Public Working Group (NBD-PWG) is working to develop consensus on important, fundamental concepts related to Big Data. The results are reported in the NIST Big Data Interoperability Framework (NBDIF) series of volumes. This volume, Volume 1, contains a definition of Big Data and related terms necessary to lay the groundwork for discussions surrounding Big Data.