DocumentCode :
2512947
Title :
Towards a scalable and reliable real time in-network data analysis infrastructure
Author :
Ciraci, Selim ; Yin, Jian
Author_Institution :
Pacific Northwest Nat. Lab., Richland, WA, USA
fYear :
2011
fDate :
23-24 Oct. 2011
Firstpage :
135
Lastpage :
136
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.
Keywords :
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; Delay; Encoding; Error correction; Reliability; Routing; Smart grids; Subscriptions; Data dissemination systems; maximum flow; network flow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Large Data Analysis and Visualization (LDAV), 2011 IEEE Symposium on
Conference_Location :
Providence, Rl
Print_ISBN :
978-1-4673-0156-5
Type :
conf
DOI :
10.1109/LDAV.2011.6092336
Filename :
6092336
Link To Document :
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