Smart grid information systems contain several components to control and load data Fig. 5 Big Data architecture for smart grid.
Rather than developing a comprehensive grid-based information system to support public health activities in Utah, our approach is incremental and follows the concept of an "ecosystem" of grid components, as proposed by the Globus Alliance http://www.globus.org/grid_software/ecology.php.php
They form the basis of the Internet's innovations, and have been advocated for many applications such as a smart energy grid, healthcare information systems, and public and government data [ 23, 24].
Grid embedded geographic information system.
Ideally, we would like to protect all nodes in an electrical power grid or an information system.
Spatial layers of these variables were intersected with our sample grid in a geographic information system [GIS], and the grid cells were clustered with a K-means cluster algorithm into ten clusters (all statistical and GIS analyses were done in R and ArcGis, respectively).
Basing on the application of grid computing on geographical information system (GIS), this paper analyzes the weakness and problems of traditional GIS, and then gives the method to solve these problems with the technology provided by grid computing and web services.
Finally, they will see how our critical infrastructure, from cellular to the smart grid, are complex information systems that hold the promise for a wide variety of applications.
The objective of this research is to apply informative performance metrics to identify critical nodes in complex systems such as smart grid, social networks, information systems, and criminal organizations.
Building a "smart grid" means upgrading the local grid from a simple delivery system to an information system that can let consumers know the times when power is cheapest, thus enabling them to adjust their use to save money.
