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Experiments with a Sensing Platform for High Visibility of the Data Center

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Internet of Things Based on Smart Objects

Part of the book series: Internet of Things ((ITTCC))

Abstract

Data centers are large energy consumers and a substantial portion of this power consumption is due to the control of physical parameters, which bring the need of high efficiency environmental control systems. In this work, we describe a hardware sensing platform specifically tailored to collect physical parameters (temperature, pressure, humidity and power consumption) in large data centers. Our system architecture is composed of Smart Objects, the datacenter racks, that cooperate to contribute for the overall goal of finding opportunities to optimize energy consumption and achieving energy-efficient data centers. We also introduce an analysis of the delay to obtain the sensing data from the sensor network. This analysis provides an insight into the time scales supported by our platform, and also allows to study the delay for different data center topologies. Finally, we exemplify some capabilities of the system with a real deployment.

João Loureiro is supported by the government of Brazil through CNPq, Conselho Nacional de Desenvolvimento Científico e Tecnológico.

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Acknowledgments

This work was supported by National Funds through the FCT-MCTES (Portuguese Foundation for Science and Technology) and by ERDF (European Regional Development Fund) through COMPETE (Operational Programme ‘The- matic Factors of Competitiveness’), within projects Ref. FCOMP-01-0124-FEDER-022701 (CISTER), FCOMP-01- 0124-FEDER-012988 (SENODs) and FCOMP-01-0124-FEDER-020312 (SMARTSKIN).

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Correspondence to João Loureiro .

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Loureiro, J., Pereira, N., Santos, P., Tovar, E. (2014). Experiments with a Sensing Platform for High Visibility of the Data Center. In: Fortino, G., Trunfio, P. (eds) Internet of Things Based on Smart Objects. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-319-00491-4_10

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  • DOI: https://doi.org/10.1007/978-3-319-00491-4_10

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-00490-7

  • Online ISBN: 978-3-319-00491-4

  • eBook Packages: EngineeringEngineering (R0)

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