Research on Real Time Processing and Intelligent Analysis Technology of Power Big Data
Author:
Affiliation:
1. China University of Mining and Technology (Beijing), Beijing, China
2. China Electric Power Research Institute, Beijing, China
3. ENSEA, Avenue du Ponceau, Cergy-Pontoise Cedex, France
Publisher
ACM Press
Reference14 articles.
1. Li JZ, Liu XM. 2013. An important aspect of big data Journal of Computer Research and Development [J]. 50(6): 1147--1162.
2. Tallon PP.2013.Corporate governance of big data: Perspectives on value, risk, and cost. Computer [J]. 46(6): 32--38.
3. Scalosub G, Marbach P, Liebeherr J. 2013.Buffer management for aggregated streaming data with packet dependencies [J]. IEEE Trans. on Parallel and Distributed Systems.24 (3): 439--449.
4. Malensek M, Pallickara SL, Pallickara S. 2014. Exploiting geospatial and chronological characteristics in data streams to enable eficient storage and retrievals [J]. Future Generation Computer Systems. 29(4): 1049--1061.
5. Cugola G, Margara A. 2012.Processing flows of information: From data stream to complex event processing [J]. ACM Computing Surveys.44 (3): 1--62.
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