Software product line applied to the internet of things: A systematic literature review

Geraldi, Ricardo Theis; Reinehr, Sheila; Malucelli, Andreia

doi:10.1016/j.infsof.2020.106293

Cited by 20 publications

(8 citation statements)

References 32 publications

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“…Where in SPLE, the member of product line harvests new software products using existing artefacts as core reference by configuring software components in high quality, short time and less cost [23]. For further knowledge on SPLE, we can read from this article [24]. The advantage of reusability method in SPLE has also been implemented in IoT development [25], [26].…”

Section: Dynamic Software Product Line Engineeringmentioning

confidence: 99%

An adaptive IoT architecture using combination of concept-drift and dynamic software product line engineering

Murwantara

Yugopuspito

2021

TELKOMNIKA

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Internet of things (IoT) architecture needs to adapt autonomously to the environment and operational to maintain their supreme services. One common problem in the IoT architecture is to manage the reliability of data services, such as sensors' data, that only sending data to the collector via gateway. If there is a disruption of services, then it is not easy to manage the system reliability. To this, an adaptive environment which is based on software reconfiguration creates a great challenge to provide better services. In this work, the software product line engineering (SPLE) reconfigures the edge devices via rules and software architecture. To identify disruption of data services which can be detected based on anomaly and truncated data. Our work makes use of concept drift to provide a recommendation to the system manager. This is important to avoid misconfiguration in the system We demonstrate our method using an open-source internet of things portal system that integrated to a cluster of sensors which is attached to specific gateway before the data are collected into a cloud storage for further processes. In identifying drifting data, the adaptive sliding window (ADWIN) method outperforms the Page-Hinkley (PH) with more selective identification and sensitive reading.

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Section: Dynamic Software Product Line Engineeringmentioning

confidence: 99%

An adaptive IoT architecture using combination of concept-drift and dynamic software product line engineering

Murwantara

Yugopuspito

2021

TELKOMNIKA

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“…Indeed, there are several works that use a SPL approach to model cyber-physical systems, as we comment below. In most of approaches, variability is managed by FMs [25]. Traditionally, SPLs use single layer FMs [26], in which only application features are contemplated and not the variability of the infrastructure.…”

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Deployment of IoT Applications in Edge-Based Infrastructures: A Software Product Line Approach

Cañete

Amor

Fuentes

2021

IEEE Internet Things J.

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In order to lower latency and reduce energy consumption, Edge Computing proposes offloading some computation intensive tasks usually performed in the Cloud onto nearby devices in the frontier/Edge of the access networks. However, current task offloading approaches are often quite simple. They neither consider the high diversity of hardware and software technologies present in edge network devices, nor take into account that some tasks may require some specific software and hardware infrastructure to be executed. This paper proposes a task offloading process that leans on Software Product Line technologies, which are a very good option to model the variability of software and hardware present in edge environments. Firstly, our approach automates the separation of application tasks, considering the data and operation needs and restrictions among them, and identifying the hardware and software resources required by each task. Secondly, our approach models and manages separately the infrastructure available for task offloading, as a set of nodes that provide certain hardware and software resources. This separation allows to reason about alternative offloading of tasks with different hardware and software resource requirements, in heterogeneous nodes and minimizing energy consumption. In addition, the offloading process considers alternative implementations of tasks to choose the one that best fits the hardware and software characteristics of available edge network infrastructure. The experimental results shows that our approach reduces the energy consumption in the user node by approximately 41%-62%, and the energy consumption of the devices involved in a task offloading solution by 34%-48%.

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“…Esse projeto garante o controle da plantação a longa distância, via ponto de conexão com uma rede wireless, ou servidor local. As etapas de projeto do FarmBot consistem tanto na estrutura de montagem mecânica, como no framework da IoT, seguindo as camadas estabelecidas por (Geraldi et al, 2020): (i) dispositivos eletrônicos, como microprocessador, sensores e atuadores; (ii) nuvem, responsável pela interface de processamento e armazenamento de dados relacionados à camada de interface; e (iii) interface de usuário, que contém uma aplicação remota que se conecta aos dispositivos eletrônicos. Essas camadas, somadas a etapa de montagem estrutural, formam os estágios desse projeto, apresentados na O estágio 1 consiste na impressão das peças, montagem e modelagem da estrutura física e ferramentas que compõe o projeto.…”

Section: Descrição Do Sistemaunclassified

Horta Inteligente: Uma Alternativa de Baixo Custo do Projeto FarmBot Baseado em Internet das Coisas (IoT)

Henrique

Ramos

Amaral

et al. 2020

Anais Do Congresso Brasileiro De Automática 2020

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Atualmente, os incentivos para o cultivo de hortas urbanas têm crescido no mundo todo, uma vez que esta prática proporciona diversos benefícios nas áreas da saúde e meio ambiente. No geral, essas hortas necessitam de cuidados com o cultivo e usualmente são construídas em espaços públicos, condições que muitas vezes não são possíveis de serem alcançadas. Dessa forma, a presença da automação no setor pode contribuir para o incentivo de hortas residenciais em que o controle e gerenciamento são realizados de forma remota e automática, em um espaço reduzido. Neste contexto, este trabalho tem como principal objetivo descrever as etapas do desenvolvimento de uma horta inteligente de baixo custo, construída com base em projeto já existente e de código aberto, utilizando fabricação com impressora 3D, e tecnologia de framework da internet das coisas

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Software product line applied to the internet of things: A systematic literature review

Cited by 20 publications

References 32 publications

An adaptive IoT architecture using combination of concept-drift and dynamic software product line engineering

An adaptive IoT architecture using combination of concept-drift and dynamic software product line engineering

Energy-Efficient Deployment of IoT Applications in Edge-Based Infrastructures: A Software Product Line Approach

Horta Inteligente: Uma Alternativa de Baixo Custo do Projeto FarmBot Baseado em Internet das Coisas (IoT)

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