Name
Abstract | ||
|---|---|---|
The smart grid applications requires real time analysis, response within the order of milliseconds and high-reliability because of the mission critical structure of the power grid system. The only way to satisfy these requirements is in-network data analysis and built-in redundancy routing for failures. To achieve this, we propose a data dissemination system that builds routes using network flow algorithms, have in network processing of the data and utilize data encoding to cope with high latencies. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/LDAV.2011.6092336 | Large Data Analysis and Visualization |
Keywords | Field | DocType |
data analysis,grid computing,real-time systems,reliability,built-in redundancy routing,data dissemination system,data encoding,high reliability,mission critical structure of,network flow algorithm,network processing,power grid system,real time analysis,reliable real time in-network data analysis infrastructure,smart grid application,Data dissemination systems,maximum flow,network flow | Flow network,Grid computing,Smart grid,Computer science,Real-time computing,Error detection and correction,Dissemination,Redundancy (engineering),Mission critical,Scalability,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-4673-0156-5 | 0 | 0.34 |
References | Authors | |
4 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Selim Ciraci | 1 | 0 | 0.34 |
| Jian Yin | 2 | 11 | 4.36 |