The IEEE Standards Association has introduced a number of standards related to big-data applications, with others in the works.
Approved June 2012
“IEEE Standard Protocol for Stream Management in Media Client Devices” defines the interfaces for intelligently distributing and replicating content over heterogeneous networks to portable and intermediate devices with local storage.
Approved December 2011
“ISO/IEC/IEEE Systems and Software Engineering—Architecture Description” addresses the creation, analysis, and maintenance of system architectures through the use of descriptions. The contents of an architecture description are specified, as well as architecture viewpoints, frameworks, and description languages for codifying conventions and common practices.
Approved February 2011
“IEEE Guide for Collecting and Managing Transmission Line Inspection and Maintenance Data” provides information to assist electric utilities and their contractors with the development of computer-based resources. A high-level overview of key principles is included to help avoid common pitfalls and enhance system usability.
Approved March 2009
“IEEE Standard for Software Interface for Maintenance Information Collection and Analysis (SIMICA)” provides a specification for implementing an interface that relays messages to information systems containing data pertinent for the diagnosis and maintenance of complex systems. The interfaces support the creation of application programming systems to access, exchange, and analyze historical diagnostic and maintenance information.
The following standards are under development.
“IEEE Standard for Intercloud Interoperability and Federation (SIIF)” defines topology, functions, and governance for cloud-to-cloud exchanges. The definitions include ones for cloud systems, gateways that mediate data exchange between clouds, resource ontologies that include standardized units of measurement, and key infrastructure.
“IEEE Standard for an Architectural Framework for the Internet of Things (IoT)” defines the relationships among devices used in industries, including transportation and health care. It also provides a blueprint for data privacy, protection, safety, and security, as well as a means to document and mitigate architecture divergence.
“IEEE Recommended Practice for Analyzing Reliability Data for Equipment Used in Industrial and Commercial Power Systems” describes how to examine the dependability of data for power equipment. Included are data collected over the years, as well as key reliability metrics such as failure rates.
For more information, visit the IEEE Standards Association website.