IEEE Draft Standard for a Functional Architecture of Distributed Energy Efficient Big Data Processing
Abstract
This recommended practice and guide 1 specifies an energy-efficient functional architecture for big data transmission and processing. The architecture considers distributed processing nodes in addition to centralized data centers to process big data chunks. Distributed processing nodes provides processing closer to big data sources which reduces the networking power consumption. The performance of the energy-efficient functional architecture is compared to classical centralized processing of big data under different use cases representing two of the main characteristics of big data; volume and variety.Scope
This standard specifies a functional architecture that supports the energy-efficient transmission and processing of large volumes of data, starting at processing nodes close to the data source, with significant processing resources provided at centralized data centers.
Purpose
This standard improves the energy efficiency of data networks involved in the processing and transmission of big data. Dealing with the large data volumes generated by big data applications requires a mechanism to handle the tradeoffs between transmission and processing from an energy consumption viewpoint.
Topic
Communication, Networking and Broadcast Technologies, Computing and Processing, Power, Energy and Industry Applications