IoT Architectural Styles

Muccini, Henry; Moghaddam, Mahyar Tourchi

doi:10.1007/978-3-030-00761-4_5

Cited by 55 publications

(34 citation statements)

References 19 publications

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“…Overall, six computational components can be identified. These are Identification, Sensing, Communication, Computation, Services and Semantics [2], [7]. Within smart home scenarios, a four-layered architecture can be regarded as a common model for structuring these components.…”

Section: Background and Related Workmentioning

confidence: 99%

“…In general, relevant IoT architectures can be conceptually described as a four-layered architecture integrating a 1) sensing layer containing sensors and RFID tags 2) a networking layer providing basic transfer networks 3) a service layer to control system states according to user goals and 4) a platform interface layer accessed by the user and other systems. In most cases, such architectural styles are centralized platforms that connect distributed devices [7]. Furthermore, the most studied quality attributes of IoT architectures are scalability, security, interoperability and performance [7].…”

Section: Introductionmentioning

confidence: 99%

“…In most cases, such architectural styles are centralized platforms that connect distributed devices [7]. Furthermore, the most studied quality attributes of IoT architectures are scalability, security, interoperability and performance [7].…”

Section: Introductionmentioning

confidence: 99%

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MergePoint: A Graphical Web-App for Merging HTTP-Endpoints and IoT-Platform Models

Burzlaff

Bongarth²,

Grottker³

et al. 2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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More and more devices are connected to Internet of Things Platforms in various application domains. The resulting device integration effort is moderated by the concrete integration syntax and the technical abilities of the device integrator. Therefore, researchers from various communities have been investigating and designing component coupling architectures to achieve interoperability for more than 30 years. Emerging Smart Home scenarios challenges classical integration approaches as no single formal integration standard exists. In this paper we introduce a reference architecture called MergePoint that automates HTTP-Endpoint integration with smart home platforms such as openHAB in a plug-and-play manner. Based on a prototypical system implementation, our empirical evaluation demonstrates that average integration time can be reduced by 78% and average tool usability score is increased by 65% compared to textual integration approaches. MergePoint can serve as a reference implementation for practitioners that want to automate the integration between HTTP-Endpoints and IoT Platform Models.

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Section: Background and Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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MergePoint: A Graphical Web-App for Merging HTTP-Endpoints and IoT-Platform Models

Burzlaff

Bongarth²,

Grottker³

et al. 2020

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

show abstract

“…In our previous work [5], we classified IoT distribution patterns as: centralized, collaborative, , that is a model objected on imposing automatic control on dynamic behavior of a system and has been used in various fields such as software engineering. However, we realized that most of adaptation patterns are unmatched with IoT distribution patterns, so that making a combination of them can be infeasible or weak.…”

Section: Self-adaptive Iot Architectures For Emergency Handlingmentioning

confidence: 99%

An IoT Software Architecture for an Evacuable Building Architecture

Muccini¹,

Arbib²,

Davidsson³

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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This paper presents a computational component designed to improve and evaluate emergency handling plans. In real-time, the component operates as the core of an Internet of Things (IoT) infrastructure aimed at crowd monitoring and optimum evacuation paths planning. In this case, a software architecture facilitates achieving the minimum time necessary to evacuate people from a building. In design-time, the component helps discovering the optimal building dimensions for a safe emergency evacuation, even before (re-) construction of a building. The space and time dimension are discretized according to metrics and models in literature. The component formulates and solves a linearized, time-indexed flow problem on a network that represents feasible movements of people at a suitable frequency. The CPU time to solve the model is compliant with real-time use. The application of the model to a real location with real data testifies the model capability to optimize the safety standards by small changes in the building dimensions, and guarantees an optimal emergency evacuation performance.

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“…The novelty of this method lies within the incremental formalization of semantic integration knowledge for IoT devices in addition to programming iterative software adapters. Over time, shared semantic integration knowledge can be utilized as a basis to generate adapters for the underlying IoT architecture [11]. Solution: In this paper, we will introduce a domain-specific mapping language and tool support that can be used to express mappings and communication patterns for Vorto device descriptions.…”

Section: Introductionmentioning

confidence: 99%

A Mapping Language for IoT Device Descriptions

Burzlaff

Ackel²,

Bartelt

2019

2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)

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Component models for IoT devices regain popularity. As more and more devices must be semantically connected within IoT platforms, digital abstractions for these devices are needed. For this purpose, textual device descriptions which encapsulate device-specific characteristics are a suitable candidate. Such component descriptions formally describe a device's information model as well as the offered functionality in a standardized way. However, smart IoT platforms mainly solve user goals by composing various IoT devices in a suitable manner. Current IoT descriptions, such as Eclipse Vorto do not address this need at all. In this paper, we introduce a formal mapping language that allows to capture functional interaction semantics already during device integration time. Our evaluation shows that only few mapping elements are needed to define functional mappings between operations as well as to capture the underlying communication pattern.

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IoT Architectural Styles

Cited by 55 publications

References 19 publications

MergePoint: A Graphical Web-App for Merging HTTP-Endpoints and IoT-Platform Models

MergePoint: A Graphical Web-App for Merging HTTP-Endpoints and IoT-Platform Models

An IoT Software Architecture for an Evacuable Building Architecture

A Mapping Language for IoT Device Descriptions

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