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Hardware and Software Platforms for Distributed Computing on Resource Constrained Devices

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Advances onto the Internet of Things

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 260))

Abstract

The basic idea of distributed computing is that it is possible to solve a large problem by using the resources of various computing devices connected in a network. Each device interacts with each other in order to process a part of a problem, contributing to the achievement of a global solution. Wireless sensor networks (WSNs) are an example of distributed computing on low resources devices. WSNs encountered a considerable success in many application areas. Due to the constraints related to the small sensor nodes capabilities, distributed computing in WSNs allows to perform complex tasks in a collaborative way, reducing power consumption and increasing battery life. Many hardware platforms compose the ecosystem of WSNs and some lightweight operating systems have also been designed to ease application deployment, to ensure efficient resources management, and to decrease energy consumption. In this chapter we focus on distributed computing from several points of view emphasizing important aspects, ranging from hardware platforms to applications on resource constrained devices.

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Acknowledgments

This work has been partially supported by the PON R&C grant MI01_00091 funding the SeNSori project.

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Authors and Affiliations

  1. Dipartimento di Ingegneria Chimica Gestionale Informatica Meccanica, Università degli Studi di Palermo, Viale delle Scienze, Edificio 6, 90128 , Palermo, Italy

    Gloria Martorella & Daniele Peri

  2. Dipartimento di Matematica e Informatica, Università degli Studi di Palermo, via Archirafi 34, 90123 , Palermo, Italy

    Elena Toscano

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  1. Gloria Martorella
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  2. Daniele Peri
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  3. Elena Toscano
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Corresponding author

Correspondence to Daniele Peri .

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Editors and Affiliations

  1. Dipartimento di Ingegneria Chimica, Gestionale, Informatica, Meccanica, Università di Palermo, Palermo, Italy

    Salvatore Gaglio

  2. Dipartimento di Ingegneria Chimica, Gestionale, Informatica, Meccanica, Università di Palermo, Palermo, Italy

    Giuseppe Lo Re

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Martorella, G., Peri, D., Toscano, E. (2014). Hardware and Software Platforms for Distributed Computing on Resource Constrained Devices. In: Gaglio, S., Lo Re, G. (eds) Advances onto the Internet of Things. Advances in Intelligent Systems and Computing, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-319-03992-3_9

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  • DOI: https://doi.org/10.1007/978-3-319-03992-3_9

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  • Online ISBN: 978-3-319-03992-3

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