The increasing number of everyday embedded devices that are interconnected over the Internet leads to the need of new software solutions for managing them in an efficient, scalable, and smart way. In addition, such devices produce a huge amount of information, causing the well known Big Data problem, that need to be stored and processed. This emerging scenario, known as Internet of Things (IoT), raises two main challenges: large-scale smart environments management and Big Data storage/analytics. In this paper, we address both challenges, proposing AllJoyn Lambda, a software solution integrating AllJoyn in the Lambda architecture used for Big Data storage and analytics. In order, to describe how the architecture works, a software prototype integrating the AllJoyn system with MongoDB and Storm is presented and tested, analyzing a “smart home” case of study. Finally, we will focus on how can be possible to manage embedded devices in a smart fashion processing both batch and real-time data.

Alljoyn Lambda: An Architecture For The Management Of Smart Environments In Iot

VILLARI, Massimo;CELESTI, ANTONIO;FAZIO, MARIA;PULIAFITO, Antonio
2014

Abstract

The increasing number of everyday embedded devices that are interconnected over the Internet leads to the need of new software solutions for managing them in an efficient, scalable, and smart way. In addition, such devices produce a huge amount of information, causing the well known Big Data problem, that need to be stored and processed. This emerging scenario, known as Internet of Things (IoT), raises two main challenges: large-scale smart environments management and Big Data storage/analytics. In this paper, we address both challenges, proposing AllJoyn Lambda, a software solution integrating AllJoyn in the Lambda architecture used for Big Data storage and analytics. In order, to describe how the architecture works, a software prototype integrating the AllJoyn system with MongoDB and Storm is presented and tested, analyzing a “smart home” case of study. Finally, we will focus on how can be possible to manage embedded devices in a smart fashion processing both batch and real-time data.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11570/2956974
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