Observatorio de I+D+i UPM

Memorias de investigación
Conferencias:
Dynamic Data Streaming for an Appliance
Año:2019
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Many applications require to analyse large amounts of continuous flows of data produced by different data sources before the data is stored. Data streaming engines emerged as a solution for processing data on the fly. At the same time, computer architectures have evolved to systems with several interconnected CPUs and Non Uniform Memory Access (NUMA), where the cost of accessing memory from a core depends on how CPUs are interconnected. In order to get better resource utilization and adaptiveness to the load dynamic migration of queries must be available in data streaming engines. Moreover, data streaming applications require high availability so that failures do not cause service interruption and losing data. This paper presents the dynamic migration and fault-tolerance capabilities of UPM-CEP, a data streaming engine designed to take advantage of NUMA architectures. The preliminary evaluation using Intel HiBench benchmark shows the effect of the query migration and fault-tolerance o n the system performance.
Internacional
Si
ISSN o ISBN
978-989-758-377-3
Entidad relacionada
8th DATA 2019
Nacionalidad Entidad
Sin nacionalidad
Lugar del congreso
Praga, República Checa
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Marta Patiño Martinez (UPM)
  • Autor: Ainhoa Azqueta Alzuaz (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Laboratorio de sistemas distribuidos (LSD)
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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