An exploration of IoT platform development

Fahmideh, Mahdi; Zowghi, Didar

doi:10.1016/j.is.2019.06.005

Cited by 89 publications

(41 citation statements)

References 40 publications

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“…Two papers present a comparison of different platforms. One presents an extensive comparison of nine platforms [17], the other a comparison of development approaches for SC data platforms [18].…”

Section: Table 5: Main Categories From the Analyzed Papersmentioning

confidence: 99%

Towards Interoperability of Smart City Data Platforms

Buchinger¹,

Kuhn²,

Kalogeropoulos³

et al. 2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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We present a comprehensive analysis of the literature on interoperability of smart city data platforms in an attempt to conceptualize interoperability approaches. To this end, we propose a taxonomy of said approaches based on four dimensions with three characteristics each. The taxonomy can be used to classify interoperability approaches. We discuss implications for theory and practice and conclude with a first assessment of individual approaches towards their prospect of success.

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Section: Table 5: Main Categories From the Analyzed Papersmentioning

confidence: 99%

Towards Interoperability of Smart City Data Platforms

Buchinger¹,

Kuhn²,

Kalogeropoulos³

et al. 2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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show abstract

“…In recent years, these frameworks have also been used to evaluate the systems such as cloud [25] and IoTs [26]. The framework in [26,27] can be seen as an initiative to evaluate SE process and lifecycle activities for IoT-driven systems. Specifically, the analytical framework in [27] evaluates and provides comparative analysis of nine well-known IoT architectures.…”

Section: A1 Evaluation Framework In Sementioning

confidence: 99%

“…We can conclude that state-of-the-art on engineering and development of IoT software mainly focuses on application of existing process models to analyse, design, implement, and deploy IoTs for smart systems [10]. A recent survey on IoT development highlight that IoT driven applications represent a unique class of systems with blended hardware components and software services [26]. In IoT-DA applications, the challenges such as hardware software mapping, things analysis, sensor deployment, system elasticity require tailored processes and their underlying practices.…”

Section: Conclusive Summary Of Related Researchmentioning

confidence: 99%

Software Engineering for IoT-Driven Data Analytics Applications

et al. 2021

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Internet of Things Driven Data Analytics (IoT-DA) has the potential to excel data-driven operationalisation of smart environments. However, limited research exists on how IoT-DA applications are designed, implemented, operationalised, and evolved in the context of software and system engineering life-cycle. This article empirically derives a framework that could be used to systematically investigate the role of software engineering (SE) processes and their underlying practices to engineer IoT-DA applications. First, using existing frameworks and taxonomies, we develop an evaluation framework to evaluate software processes, methods, and other artefacts of SE for IoT-DA. Secondly, we perform a systematic mapping study to qualitatively select 16 processes (from academic research and industrial solutions) of SE for IoT-DA. Thirdly, we apply our developed evaluation framework based on 17 distinct criterion (a.k.a. process activities) for fine-grained investigation of each of the 16 SE processes. Fourthly, we apply our proposed framework on a case study to demonstrate development of an IoT-DA healthcare application. Finally, we highlight key challenges, recommended practices, and the lessons learnt based on framework's support for process-centric software engineering of IoT-DA. The results of this research can facilitate researchers and practitioners to engineer emerging and next-generation of IoT-DA software applications.

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“…[20].  IoT has heterogeneous devices running on different platforms [175]. IoT platform is an intelligent…”

Section: Iot Ecosystem -Functional Artifactsmentioning

confidence: 99%

Decades of Internet of Things towards 21st Century: A Research-Based Introspective

Boobalakrishnan¹

2021

Preprint

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Internet connects people to people, people to machine, and machine to machine for a life of serendipity through a Cloud. Internet of Things networks objects or people and integrates them with software to collect and exchange data. The Internet of things (IoT) influences our lives based on how we ruminate, respond, and anticipate. IoT 2020 heralds from the fringes to the data ecosystem and panaches a comfort zone. IoT is overwhelmingly embraced by businessmen and consumers due to increased productivity and convenience. Internet of Things facilitates intelligent device control with cloud vendors like Amazon and Google using artificial intelligence for data analytics, and with digital assistants like Alexa and Siri providing a voice user interface. Smart IoT is all about duplex connecting, processing, and implementing. With 5G, lightning faster rate of streaming analytics is realistic. An amalgamation of technologies has led to this techno-industrial IoT revolution. Centralized IoT architecture is vulnerable to cyber-attacks. With Block Chain, it is possible to maintain transparency and security of the transaction's data. Standardization of IoT devices is achievable with limited vendors based on Platform, Connectivity, and Application. Robotic Process Automation (RPA) using bots has automated laborious tasks in 2019. Embedded Internet using Facial Recognition could reduce the pandemic crisis. Security concerns are addressed with micro-segmentation approaches. IoT, an incredible vision of the future makes systems adaptive with customized features, responsive with increased efficiency, and procurable with optimized cost. This paper delivers a comprehensive insight into the technical perspectives of IoT, focusing on interoperability, flexibility, scalability, mobility, security, transparency, standardization, and low energy.

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An exploration of IoT platform development

Cited by 89 publications

References 40 publications

Towards Interoperability of Smart City Data Platforms

Towards Interoperability of Smart City Data Platforms

Software Engineering for IoT-Driven Data Analytics Applications

Decades of Internet of Things towards 21st Century: A Research-Based Introspective

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