Self-service Business Intelligence over On-Demand IoT Data: A New Design Methodology Based on Rapid Prototyping

Plazas, Julián Eduardo; Bimonte, Sandro; Schneider, Michel; Vaulx, Christophe de; Corrales, Juan Carlos

doi:10.1007/978-3-030-54623-6_8

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…These correlations raise several design and implementation issues since they can involve different data management systems (collection, storage, and computation). Noticeably, according to [6], no conceptual model allows representation of polyglot and multi-representation data.…”

Section: A Whatmentioning

confidence: 99%

On Designing and Implementing Agro-ecology IoT Applications: Issues from Applied Research Projects

Bimonte

Belhassena

Christophe

et al. 2021

2021 IEEE 25th International Enterprise Distributed Object Computing Workshop (EDOCW)

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The design and implementation of agro-ecology IoT applications is a non-trivial task since the data processed in such applications are typically complex and heterogeneous. Moreover, these applications are implemented using different systems and technologies, over complex IoT communication network layers (edge, fog, cloud). The existing system design methods fail to effectively represent data in such a scenario. In this position paper we report and discuss the open issues for a new, dedicated design method, based on our initial experience in implementing an agro-ecology IoT system.

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Section: A Whatmentioning

confidence: 99%

On Designing and Implementing Agro-ecology IoT Applications: Issues from Applied Research Projects

Bimonte

Belhassena

Christophe

et al. 2021

2021 IEEE 25th International Enterprise Distributed Object Computing Workshop (EDOCW)

Self Cite

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Lightweight data bridge for connecting self-service end-user analytic tools to NGSI-based IoT systems

Pereira

2024

Internet of Things

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Data-centric UML profile for agroecology applications: Agricultural autonomous robots monitoring case study

Bimonte

Badir

Battistoni

et al. 2023

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The conceptual design of information systems is mandatory in several application domains. The advent of the Internet of Things (IoT) technologies pushes conceptual design tools and methodologies to consider the complexity of IoT data, architectures, and communication networks. In agroecology applications, the usage of IoT is quite promising, but it raises several methodological and technical issues. These issues are related to the complexity and heterogeneity of data (social, economic, environmental, and agricultural) needed by agroecology practices. Motivated by the lack of a conceptual model for IoT data, in this work, we present a UML profile taking into account different kinds of data (e.g., sensors, stream, or transactional) and non-functional Requirements. We show how the UML profile integrates with classical UML diagrams to support the design of complex systems. Moreover, We prove the feasibility of our conceptual framework through a theoretical quality assessment and its implementation in the agroecology case study concerning the monitoring of autonomous agricultural robots.

show abstract

Self-service Business Intelligence over On-Demand IoT Data: A New Design Methodology Based on Rapid Prototyping

Cited by 3 publications

References 16 publications

On Designing and Implementing Agro-ecology IoT Applications: Issues from Applied Research Projects

On Designing and Implementing Agro-ecology IoT Applications: Issues from Applied Research Projects

Lightweight data bridge for connecting self-service end-user analytic tools to NGSI-based IoT systems

Data-centric UML profile for agroecology applications: Agricultural autonomous robots monitoring case study

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