Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
"StreamCloud: An Elastic and Scalable Data Streaming System".
Año:2012
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
? Many applications in several domains such as telecommunications, network security, large scale sensor networks, require online processing of continuous data ?ows. They produce very high loads that requires aggregating the processing capacity of many nodes. Current Stream Processing Engines do not scale with the input load due to single-node bottlenecks. Additionally, they are based on static con?gurations that lead to either under or over-provisioning. In this paper, we present StreamCloud, a scalable and elastic stream processing engine for processing large data stream volumes. StreamCloud uses a novel parallelization technique that splits queries into subqueries that are allocated to independent sets of nodes in a way that minimizes the distribution overhead. Its elastic protocols exhibit low intrusiveness, enabling effective adjustment of resources to the incoming load. Elasticity is combined with dynamic load balancing to minimize the computational resources used. The paper presents the system design, implementation and a thorough evaluation of the scalability and elasticity of the fully implemented system.
Internacional
Si
JCR del ISI
Si
Título de la revista
Ieee Transactions on Parallel And Distributed Systems
ISSN
1045-9219
Factor de impacto JCR
1,402
Información de impacto
Volumen
23
DOI
10.1109/TPDS.2012.24
Número de revista
12
Desde la página
2351
Hasta la página
2365
Mes
DICIEMBRE
Ranking
Q1
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Ricardo Jimenez Peris (UPM)
  • Autor: Marta Patiño Martinez (UPM)
  • Autor: Patrick Valduriez (INRIA and LIRMM)
  • Autor: Vincenzo Massimiliano Gulisano . (UPM)
  • Autor: Claudio Soriente . (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Laboratorio de sistemas distribuidos (LSD)
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