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
Inglese
Data Management in Cloud, Grid and P2P Systems - 5th International Conference, Globe 2012, Vienna, Austria, September 5-6, 2012. Proceedings
Globe 2012
7450 LNCS
25
36
9783642323430
http://www.scopus.com/record/display.url?eid=2-s2.0-84866349305&origin=inward
Sì, ma tipo non specificato
Bigtable
Cloud computing
Large-scale sensor networks
MapReduce
1
none
Yu, Byunggu; Cuzzocrea, Alfredo; Jeong, Dong; Maydebura, Sergey V.
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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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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