This paper proposes a novel approach for effectively and efficiently managing large-scale sensor networks defining a Cloud infrastructure that makes use of Bigtable at the data layer and MapReduce at the processing layer. We provide principles and architecture of our proposed infrastructure along with its experimental evaluation on a real-life computational platform. Experiments clearly confirm the effectiveness and the efficiency of the proposed research. © 2012 Springer-Verlag.

A Bigtable/MapReduce-based cloud infrastructure for effectively and efficiently managing large-scale sensor networks

Cuzzocrea Alfredo;
2012

Abstract

This paper proposes a novel approach for effectively and efficiently managing large-scale sensor networks defining a Cloud infrastructure that makes use of Bigtable at the data layer and MapReduce at the processing layer. We provide principles and architecture of our proposed infrastructure along with its experimental evaluation on a real-life computational platform. Experiments clearly confirm the effectiveness and the efficiency of the proposed research. © 2012 Springer-Verlag.
2012
9783642323430
Bigtable
Cloud computing
Large-scale sensor networks
MapReduce
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/287600
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