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Design and architecture of the jMetaISP framework
jMetaISP is a framework for dynamic multi-objective Big Data optimization. It combines the jMetal multi-objective framework with the Apache Spark cluster computing system to allow the solving of dynamic optimization problems from a number of external streaming data sources in Big Data contexts. In t...
| Autores principales: | , , , , |
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| Lenguaje: | eng |
| Publicado: |
2017
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1145/3067695.3082466 http://cds.cern.ch/record/2318248 |