Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
"StreamCloud: An Elastic and Scalable Data Streaming System".
Year:2012
Research Areas
  • Information technology and adata processing
Information
Abstract
? 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.
International
Si
JCR
Si
Title
Ieee Transactions on Parallel And Distributed Systems
ISBN
1045-9219
Impact factor JCR
1,402
Impact info
Volume
23
10.1109/TPDS.2012.24
Journal number
12
From page
2351
To page
2365
Month
DICIEMBRE
Ranking
Q1
Participants
  • 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)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Laboratorio de sistemas distribuidos (LSD)
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