Process View for a Data Stream Processing Strategy based on Measurement Metadata

  • Mario Diván Facultad de Ciencias Económicas y Jurídicas, Universidad Nacional de La Pampa
  • Luis Olsina Facultad de Ingeniería, Universidad Nacional de La Pampa

Resumen

The data stream processing strategy based on measurement metadata, is an enhanced approach that relies on a measurement and evaluation conceptual framework. The strategy uses measures (data sets) and their linked metadata to incorporate detective and predictive behavior as well as to trigger alarms in a proactive way. This work discusses the process formalization for its data stream processing components, and their interactions. The process specification is based on the SPEM language, and the main specified activities ranges from data source configuration of heterogeneous data sources, to statistical analysis
and classifiers for decision making. As result, the proposed strategy becomes more consistent, repeatable and communicable from the process modeling viewpoint. Also, to illustrate the approach, excerpts of a developed outpatient monitoring system are used.

Publicado
2014-06-23
Cómo citar
Diván, M., & Olsina, L. (2014). Process View for a Data Stream Processing Strategy based on Measurement Metadata. Electronic Journal of SADIO (EJS), 13(1), 16-34. Recuperado a partir de https://publicaciones.sadio.org.ar/index.php/EJS/article/view/39