An Electric Power Big Data Deployment Solution for Distributed Memory Computing

In the Big Data computing, improving performance with memory computing is one of hot spots. In the memory computing, the data deployment directly affects load balance and task efficiency. In the scene of memory computing of electric power data, two unsolved problems are: (1) only memory space, witho...

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Veröffentlicht in:	Proceedings (International Symposium on Parallel Architectures, Algorithms and Programming. Print) S. 155 - 161
Hauptverfasser:	Zhi Yang, Chunping Zhang, Mu Hu, Feng Lin
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.12.2015
Schlagworte:	Big data Business Data Deployment strategy Distributed databases Distributed Memory Computing Hardware Objectification Parallel Computing Parallel processing Power systems
ISSN:	2168-3042
Online-Zugang:	Volltext
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