Dataflow-based Heterogeneous Code Generator for IoT Applications

Gábor Paller, Endri Bezati, Nebojša Taušan, Gábor Farkas, Gábor Élő

Abstract

The latest wave of connected digital systems, nowadays called Internet of Things (IoT) promises various gains, especially in terms of significant ease of data access. A large number of different platforms for IoT applications, however, makes their development difficult and time-consuming leading to projects that are failed to be on time, on budget or fully completed. To address the platform heterogeneity, this paper presents the ongoing work on development environment called Orcc-IoT. Orcc-IoT facilitates the development of IoT by combining dataflow modelling language, heterogeneous code generator and the library of ready-made IoT actors. The utilisation of Orcc-IoT in development is expected to increase the quality, and to reduce the development costs and time-to-market of IoT applications.

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Paper Citation


in Harvard Style

Paller G., Bezati E., Taušan N., Farkas G. and Élő G. (2019). Dataflow-based Heterogeneous Code Generator for IoT Applications.In Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD, ISBN 978-989-758-358-2, pages 428-434. DOI: 10.5220/0007496804280434


in Bibtex Style

@conference{modelsward19,
author={Gábor Paller and Endri Bezati and Nebojša Taušan and Gábor Farkas and Gábor Élő},
title={Dataflow-based Heterogeneous Code Generator for IoT Applications},
booktitle={Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,},
year={2019},
pages={428-434},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007496804280434},
isbn={978-989-758-358-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - Dataflow-based Heterogeneous Code Generator for IoT Applications
SN - 978-989-758-358-2
AU - Paller G.
AU - Bezati E.
AU - Taušan N.
AU - Farkas G.
AU - Élő G.
PY - 2019
SP - 428
EP - 434
DO - 10.5220/0007496804280434