Towards the Description and Representation of Smartness in IoT Scenarios Specification

Souza, Bruno Pedraça de; Motta, Rebeca Campos; Travassos, Guilherme Horta

doi:10.1145/3350768.3351797

Cited by 11 publications

(15 citation statements)

References 17 publications

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“…Many consider Patrick Debois's meeting with Andrew Shaffer in Toronto in 2008 to be ground zero. Still, a significant event is the presentation of John Allspaw and Paul Hammond, "10 Deploys a day" on Flickr 4 , he influenced Debois to organize DevOpsDays. If we try to see the essence of all the lectures, papers, and books on the subject, three factors always permeate these different sources: people (collaboration), flow (pipeline, development cycle), and resilience (preparing systems to face failure situations).…”

Section: Discussionmentioning

confidence: 99%

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Understanding the Context of IoT Software Systems in DevOps

Pereira¹,

Carneiro²,

Figueiredo³

2021

Preprint

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The growing demand for connected devices and the increase in investments in the Internet of Things (IoT) sector induce the growth of the market for this technology. IoT permeates all areas of life of an individual, from smartwatches to entire home assistants and solutions in different areas. The IoT concept is gradually increasing all over the globe. IoT projects induce an articulation of studies in software engineering to prepare the development and operation of software systems materialized in physical objects and structures interconnected with embedded software and hosted in clouds. IoT projects have boundaries between development and operation stages. This study search for evidence in scientific literature to support these boundaries through Development and Operations (DevOps) principles. We rely on a Systematic Literature Review to investigate the relations of DevOps in IoT software systems. As a result, we identify concepts, characterize the benefits and challenges in the context of knowledge previously reported in primary studies in the literature. The main contributions of this paper are: (i) discussion of benefits and challenges for DevOps in IoT software systems, (ii) identification of tools, concepts, and programming languages used, and, (iii) perceived pipeline for this kind of software development.

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Section: Discussionmentioning

confidence: 99%

“…Internet of Things (IoT) solutions share these conflicts, as they require changes in known ways of construction and maintenance [4]. IoT solutions are composed of addressable objects (things) that interact with each other and with users, detecting and processing data to achieve specific goals [5].…”

Section: Introductionmentioning

confidence: 99%

Understanding the Context of IoT Software Systems in DevOps

Pereira¹,

Carneiro²,

Figueiredo³

2021

Preprint

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“…El término de Internet de las cosas (IoT) se refiere a una estructura compuesta por dispositivos físicos o "things", cuya comunicación e interacción es controlada por una infraestructura de software [6] y que tiene como objetivo recolectar datos de su entorno permitiendo el posterior tratamiento analítico de estos con vistas a generar información relevante para la toma de decisiones de las acciones a realizar sobre ese entorno [7], proceso que requiere un nivel de autonomía e inteligencia por parte del sistema [8].…”

Section: Antecedentesunclassified

“…Requerimientos no funcionales comunes en los sistemas IoT. NFR Referencia Interoperabilidad [8], [9], [27]- [31], [10], [14]- [17], [24]-[26] Escalabilidad/Flexibilidad [8], [9], [29]- [33], [10], [14]- [16], [24], [26]-[28] Seguridad [10], [14], [29], [30], [32], [33], [15], [16], [20], [24]-[28] Sensibilidad al entorno [8], [9], [30], [10], [14], [16], [17], [20], [24], [26], [28] Tabla 2. Requerimientos no funcionales para una plataforma IoT en el dominio de Ciudad Inteligente Característica de calidad Aspecto de interés para el sistema…”

Section: Hogar Inteligenteunclassified

Requerimientos no funcionales para sistemas basados en el Internet de las cosas (IoT): Una revisión

Ojo-Gonzalez

Bonilla-Morales

2021

I+D Tecnológico

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El análisis de los requerimientos es una fase crucial que determina las funcionalidades y propiedades que debe poseer un sistema a desarrollar, realidad a la que no escapan los sistemas que involucran el paradigma del Internet de las cosas (IoT). Este paradigma permite incrementar los niveles de automatización y autonomía de los sistemas y servicios tradicionales, lo que lo ha llevado a ganar presencia rápidamente en diversidad de dominios de aplicación. En este documento se realiza una revisión literaria apoyada con la norma ISO/IEC 25010, para identificar los requerimientos no funcionales prioritarios para cuatro dominios de aplicación: ciudad, hogar, agricultura y fábricas inteligentes; señalando para cada uno los aspectos asociados y atendidos de acuerdo con las características de calidad del producto.

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“…Indeed, according to Feng and Hu [7] and Fredj et al [8], the IoT can be modeled as a network of things or devices with embedded sensors, actuators, and software with the purpose of connecting to other devices to exchange data through the Internet. What can be gleaned from the article published by the Association of Computing Machinery [9], To make IoT smart, one solution is to interconnect it with artificial intelligence (AI) and MAS. In fact, agents should be able to apply autonomous behaviors when associated with devices.…”

Section: Introductionmentioning

confidence: 99%

Combining Multi-Agent Systems and ArtificialIntelligence of Things: Technical Challenges andGains

Luzolo,

Elrawashdeh,

Outay

et al. 2024

Preprint

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A Multiagent System (MAS) refers to a network of agents collaborating to achieve same objective. This system comprises numerous individual programs or hardware components (agents) that are simpler to construct and manage. Additionally, these agents can dynamically and swiftly adapt to changes in their environment. The MAS proves advantageous in addressing intricate issues by employing the divide-and-conquer approach. It finds application in diverse fields where the emphasis is on distributed computing and control, enabling the development of resilient, adaptable, and scalable systems. The Multiagent System (MAS) is not a substitute or rival for Artificial Intelligence (AI) methods. Instead, AI techniques can be integrated within the agents to enhance their computational and decision-making capabilities. The diversity or uniformity of goals, actions, domain knowledge, sensor inputs, and outputs among the agents in the MAS can determine whether each agent is heterogeneous or homogeneous. The Internet of Things (IoT) and Artificial Intelligence (AI) are two technologies that have long been applied to the development of smart systems. These systems cover various areas, such as smart cities, energy management, autonomous cars, etc. Intelligence, autonomy, and real-time monitoring are the fundamental elements that characterize these application areas. The convergence of artificial intelligence (AI) and IoT, known as AIOT, Allows those electronic devices to make intelligent, autonomous and more automatic decisions. This integration leverages the power of MAS to enable intelligent communication and collaboration among various entities, while IoT provides a vast network of interconnected sensors and devices that collect and transmit real-time data. On the other hand, AI algorithms process and analyze this data to derive valuable insights and make informed decisions. The authors devoted efforts on the critical analysis of AIOT research, highlighting specific areas with insufficient solutions and pointing out gaps for future advances. Essentially, the authors contribution is in the formulation of innovative research directions, outlining a clear guide for researchers and professionals in the expansion of knowledge in AIOT integration. Research results in a significant contribution to the continuous advance of the area, enriching the understanding of challenges and boosting the development of solutions and strategies in this technological convergence. Eleven research questions are considered at the beginning of the review, including typical research topics and application domains. From the SLR results the research directions are: (i) Development of a methodology that shows how to integrate the different applications independent of the scenarios that are deployed in. Additionally, elaboration of the tools used in the integration process; (ii) Deployment of an agent in a microprocessor; (iii) How to implement and connect Multi-agent systems (MAS) technology and Internet of Things (IoT) devices (processors, controllers, sensors, and actuators).

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Towards the Description and Representation of Smartness in IoT Scenarios Specification

Cited by 11 publications

References 17 publications

Understanding the Context of IoT Software Systems in DevOps

Understanding the Context of IoT Software Systems in DevOps

Requerimientos no funcionales para sistemas basados en el Internet de las cosas (IoT): Una revisión

Combining Multi-Agent Systems and ArtificialIntelligence of Things: Technical Challenges andGains

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