TY  - JOUR
VL  - 23
Y1  - 2012/12//
AV  - public
TI  - StreamCloud: An elastic and scalable data streaming system
SP  - 2351
KW  - Data streaming
KW  -  scalability
KW  -  elasticity
KW  -  flujo de datos
KW  -  escalabilidad
KW  -  elasticidad.
N2  - Many applications in several domains such as telecommunications, network security, large scale sensor networks, require online processing of continuous data lows. 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.
ID  - upm16848
SN  - 1045-9219
UR  - http://www.computer.org/csdl/trans/td/2012/12/ttd2012122351-abs.html
A1  - Gulisano, Vincenzo Massimiliano
A1  - Jiménez-Peris, Ricardo
A1  - Patiño-Martínez, M.
A1  - Soriente, Claudio
A1  - Valduriez, Patrick
IS  - 12
JF  - IEEE Transactions on Parallel And Distributed Systems
PB  - Institute of Electrical and Electronics Engineers (IEEE)
EP  - 2365
ER  -