MOZART: Design and Deployment of Advanced IoT Applications

Krishna, Ajay; Pallec, Michel Le; Martínez, Alejandro; Mateescu, Radu; Salaün, Gwen

doi:10.1145/3366424.3383532

Cited by 10 publications

(11 citation statements)

References 9 publications

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“…AutoTap is missing other conflicts that may occur due to sharing the location of interest between different users, also omitting local conflicts. (Krishna et al, 2020) proposed a tool called MOZART (Mozilla and Advanced Rule Triggers) that provides several functionalities for IoT applications, such as providing UI to create rules, analyzing the created rules and checking against deadlocks, and finally deploying to execute the rules. MOZART only checks for deadlock and did not care about errors resulting from devices' effects on each other.…”

Section: Computer Sciencementioning

confidence: 99%

Peer Review #1 of "A conflicts’ classification for IoT-based services: a comparative survey (v0.1)"

2021

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Section: Computer Sciencementioning

confidence: 99%

Peer Review #1 of "A conflicts’ classification for IoT-based services: a comparative survey (v0.1)"

2021

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“…MOZART [1] is a tool built on top of WebThings to support the design and deployment of complex applications. In addition to individual ECA rules, it allows users to compose these rules using the composition language described in Section II.…”

Section: A Webthingsmentioning

confidence: 99%

“…In this paper, we present a tool called R-MOZART, which supports the reconfiguration of IoT applications described using composition expressions. R-MOZART is an extension of MOZART [1] and of the WebThings (formerly Mozilla WebThings) platform [2]. More precisely, R-MOZART implements three new components for supporting the reconfiguration process: a dedicated UI, a verification component, and a deployment manager.…”

Section: Introductionmentioning

confidence: 99%

R-MOZART: A Reconfiguration Tool for WebThings Applications

Durán

Krishna

Pallec

et al. 2021

2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)

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The Internet of Things (IoT) is a network of physical devices and software entities that interact together for fulfilling an overall objective and thus providing added-value services. Designing such applications by selecting a set of candidate objects and defining how they interact with one another is a difficult and error-prone task. Moreover, IoT applications are not monolithic applications built once and for all. In contrast, they are constantly modified due to removal, replacement, or addition of new objects during the application's lifetime. In this paper, we present a tool built on top of the WebThings platform, which supports users when they want to dynamically change a running WebThings application. To do so, R-MOZART provides three components for (i) designing the new application using a user-friendly UI, (ii) verifying that this new application respects some consistency properties with respect to the current application, and (iii) deploying this new application in an automated manner. This tool was applied on several smart home applications for evaluation purposes. Video URL: https://youtu.be/bG4oiQUrWSQ

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“…In [18], these tools are complemented by end user debugging support. MOZART [38] provides a rule-based composition language and a graphical user interface for specifying an IoT application. It has been implemented as a set of components on top of Mozilla WebThings.…”

Section: B Middleware and Services For Iot Applicationsmentioning

confidence: 99%

A RESTful Rule Management Framework for Internet of Things Applications

2020

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Web technologies are currently regarded as key enabling factors for the Internet of Things (IoT), and substantial effort is being dedicated to bringing sensors and data from the real world to the Web. In addition, rule-based automation mechanisms are expected to play a significant role in the effective integration of the physical world with the virtual world by leveraging a trigger-action paradigm. Although several rule engines are already available, limited effort has been devoted to rule-based solutions that are tailored to the IoT and consider rule configurability and extensibility according to application requirements. In this work, we propose a RESTful rule management framework for IoT applications that satisfies these requirements. The framework is centered around a resource-based graph, which enables the uniform representation of things (e.g., sensors and domain entities) and rules as URI-addressable resources. We describe the design and implementation choices of the main rule management features (rule scheduling, activation and RESTful operations for managing rules at various levels of configurability and extensibility). Finally, we present a case study and performance evaluation results regarding the use of this rule management framework in a set of school buildings that were part of a real-world IoT deployment that was realized within the Horizon 2020 GAIA research project, with the objective of promoting energy-saving behaviors in school communities. INDEX TERMS Behavior-based energy saving, education, Internet of Things, REST, rule engine, Web of Things.

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MOZART: Design and Deployment of Advanced IoT Applications

Cited by 10 publications

References 9 publications

Peer Review #1 of "A conflicts’ classification for IoT-based services: a comparative survey (v0.1)"

Peer Review #1 of "A conflicts’ classification for IoT-based services: a comparative survey (v0.1)"

R-MOZART: A Reconfiguration Tool for WebThings Applications

A RESTful Rule Management Framework for Internet of Things Applications

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