Modeling and Building IoT Data Platforms with Actor-Oriented Databases

Yiwen Wang; Julio Cesar Dos Reis; Kasper Myrtue Borggren; Marcos Antonio Vaz Salles; Claudia Bauzer Medeiros; Yongluan Zhou

doi:10.5441/002/edbt.2019.47

Modeling and Building IoT Data Platforms with Actor-Oriented Databases

Yiwen Wang, Julio Cesar Dos Reis, Kasper Myrtue Borggren, Marcos Antonio Vaz Salles, Claudia Bauzer Medeiros, Yongluan Zhou

1 Citation (Scopus)

Abstract

Vast amounts of data are being generated daily with the adoption of Internet-of-Things (IoT) solutions in an ever-increasing number of application domains. There are problems associated with all stages of the lifecycle of these data (e.g., capture, curation and preservation). Moreover, the volume, variety, dynamicity and ubiquity of IoT data present additional challenges to their usability, prompting the need for constructing scalable data-intensive IoT data management and processing platforms. This paper presents a novel approach to model and build IoT data platforms based on the characteristics of an Actor-Oriented Database (AODB). We take advantage of two complementary case studies – in structural health monitoring and beef cattle tracking and tracing – to describe novel software requirements introduced by IoT data processing. Our investigation illustrates the challenges and benefits provided by AODB to meet these requirements in terms of modeling and IoT-based systems implementation. Obtained results reveal the advantages of using AODB in IoT scenarios and lead to principles on how to effectively use an actor model to design and implement IoT data platforms.

Original language	English
Title of host publication	Proceedings of the International Conference on Extending Database Technology (EDBT)
Editors	Zoi Kaoudi, Helena Galhardas, Irini Fundulaki, Berthold Reinwald, Melanie Herschel, Carsten Binnig
Number of pages	12
Publisher	OpenProceedings.org
Publication date	2019
Pages	512-523
ISBN (Electronic)	9783893180813
DOIs	https://doi.org/10.5441/002/edbt.2019.47
Publication status	Published - 2019
Event	22nd International Conference on Extending Database Technology, EDBT 2019 - Lisbon, Portugal Duration: 26 Mar 2019 → 29 Mar 2019

Conference

Conference	22nd International Conference on Extending Database Technology, EDBT 2019
Country/Territory	Portugal
City	Lisbon
Period	26/03/2019 → 29/03/2019

Series	Advances in Database Technology - EDBT
Volume	2019-March

Access to Document

10.5441/002/edbt.2019.47

Cite this

Wang, Y., Dos Reis, J. C., Borggren, K. M., Vaz Salles, M. A., Medeiros, C. B., & Zhou, Y. (2019). Modeling and Building IoT Data Platforms with Actor-Oriented Databases. In Z. Kaoudi, H. Galhardas, I. Fundulaki, B. Reinwald, M. Herschel, & C. Binnig (Eds.), Proceedings of the International Conference on Extending Database Technology (EDBT) (pp. 512-523). OpenProceedings.org. https://doi.org/10.5441/002/edbt.2019.47

Modeling and Building IoT Data Platforms with Actor-Oriented Databases. / Wang, Yiwen; Dos Reis, Julio Cesar; Borggren, Kasper Myrtue et al.
Proceedings of the International Conference on Extending Database Technology (EDBT). ed. / Zoi Kaoudi; Helena Galhardas; Irini Fundulaki; Berthold Reinwald; Melanie Herschel; Carsten Binnig. OpenProceedings.org, 2019. p. 512-523 (Advances in Database Technology - EDBT, Vol. 2019-March).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Wang, Y, Dos Reis, JC, Borggren, KM, Vaz Salles, MA, Medeiros, CB & Zhou, Y 2019, Modeling and Building IoT Data Platforms with Actor-Oriented Databases. in Z Kaoudi, H Galhardas, I Fundulaki, B Reinwald, M Herschel & C Binnig (eds), Proceedings of the International Conference on Extending Database Technology (EDBT). OpenProceedings.org, Advances in Database Technology - EDBT, vol. 2019-March, pp. 512-523, 22nd International Conference on Extending Database Technology, EDBT 2019, Lisbon, Portugal, 26/03/2019. https://doi.org/10.5441/002/edbt.2019.47

Wang Y, Dos Reis JC, Borggren KM, Vaz Salles MA, Medeiros CB, Zhou Y. Modeling and Building IoT Data Platforms with Actor-Oriented Databases. In Kaoudi Z, Galhardas H, Fundulaki I, Reinwald B, Herschel M, Binnig C, editors, Proceedings of the International Conference on Extending Database Technology (EDBT). OpenProceedings.org. 2019. p. 512-523. (Advances in Database Technology - EDBT, Vol. 2019-March). doi: 10.5441/002/edbt.2019.47

Wang, Yiwen ; Dos Reis, Julio Cesar ; Borggren, Kasper Myrtue et al. / Modeling and Building IoT Data Platforms with Actor-Oriented Databases. Proceedings of the International Conference on Extending Database Technology (EDBT). editor / Zoi Kaoudi ; Helena Galhardas ; Irini Fundulaki ; Berthold Reinwald ; Melanie Herschel ; Carsten Binnig. OpenProceedings.org, 2019. pp. 512-523 (Advances in Database Technology - EDBT, Vol. 2019-March).

@inproceedings{8e768049405642d594e64a8951773dee,

title = "Modeling and Building IoT Data Platforms with Actor-Oriented Databases",

abstract = "Vast amounts of data are being generated daily with the adoption of Internet-of-Things (IoT) solutions in an ever-increasing number of application domains. There are problems associated with all stages of the lifecycle of these data (e.g., capture, curation and preservation). Moreover, the volume, variety, dynamicity and ubiquity of IoT data present additional challenges to their usability, prompting the need for constructing scalable data-intensive IoT data management and processing platforms. This paper presents a novel approach to model and build IoT data platforms based on the characteristics of an Actor-Oriented Database (AODB). We take advantage of two complementary case studies – in structural health monitoring and beef cattle tracking and tracing – to describe novel software requirements introduced by IoT data processing. Our investigation illustrates the challenges and benefits provided by AODB to meet these requirements in terms of modeling and IoT-based systems implementation. Obtained results reveal the advantages of using AODB in IoT scenarios and lead to principles on how to effectively use an actor model to design and implement IoT data platforms.",

author = "Yiwen Wang and {Dos Reis}, {Julio Cesar} and Borggren, {Kasper Myrtue} and {Vaz Salles}, {Marcos Antonio} and Medeiros, {Claudia Bauzer} and Yongluan Zhou",

year = "2019",

doi = "10.5441/002/edbt.2019.47",

language = "English",

series = "Advances in Database Technology - EDBT",

publisher = "OpenProceedings.org",

pages = "512--523",

editor = "Zoi Kaoudi and Helena Galhardas and Irini Fundulaki and Berthold Reinwald and Melanie Herschel and Carsten Binnig",

booktitle = "Proceedings of the International Conference on Extending Database Technology (EDBT)",

note = "22nd International Conference on Extending Database Technology, EDBT 2019 ; Conference date: 26-03-2019 Through 29-03-2019",

}

TY - GEN

T1 - Modeling and Building IoT Data Platforms with Actor-Oriented Databases

AU - Wang, Yiwen

AU - Dos Reis, Julio Cesar

AU - Borggren, Kasper Myrtue

AU - Vaz Salles, Marcos Antonio

AU - Medeiros, Claudia Bauzer

AU - Zhou, Yongluan

PY - 2019

Y1 - 2019

N2 - Vast amounts of data are being generated daily with the adoption of Internet-of-Things (IoT) solutions in an ever-increasing number of application domains. There are problems associated with all stages of the lifecycle of these data (e.g., capture, curation and preservation). Moreover, the volume, variety, dynamicity and ubiquity of IoT data present additional challenges to their usability, prompting the need for constructing scalable data-intensive IoT data management and processing platforms. This paper presents a novel approach to model and build IoT data platforms based on the characteristics of an Actor-Oriented Database (AODB). We take advantage of two complementary case studies – in structural health monitoring and beef cattle tracking and tracing – to describe novel software requirements introduced by IoT data processing. Our investigation illustrates the challenges and benefits provided by AODB to meet these requirements in terms of modeling and IoT-based systems implementation. Obtained results reveal the advantages of using AODB in IoT scenarios and lead to principles on how to effectively use an actor model to design and implement IoT data platforms.

AB - Vast amounts of data are being generated daily with the adoption of Internet-of-Things (IoT) solutions in an ever-increasing number of application domains. There are problems associated with all stages of the lifecycle of these data (e.g., capture, curation and preservation). Moreover, the volume, variety, dynamicity and ubiquity of IoT data present additional challenges to their usability, prompting the need for constructing scalable data-intensive IoT data management and processing platforms. This paper presents a novel approach to model and build IoT data platforms based on the characteristics of an Actor-Oriented Database (AODB). We take advantage of two complementary case studies – in structural health monitoring and beef cattle tracking and tracing – to describe novel software requirements introduced by IoT data processing. Our investigation illustrates the challenges and benefits provided by AODB to meet these requirements in terms of modeling and IoT-based systems implementation. Obtained results reveal the advantages of using AODB in IoT scenarios and lead to principles on how to effectively use an actor model to design and implement IoT data platforms.

UR - http://www.scopus.com/inward/record.url?scp=85064947935&partnerID=8YFLogxK

U2 - 10.5441/002/edbt.2019.47

DO - 10.5441/002/edbt.2019.47

M3 - Article in proceedings

AN - SCOPUS:85064947935

T3 - Advances in Database Technology - EDBT

SP - 512

EP - 523

BT - Proceedings of the International Conference on Extending Database Technology (EDBT)

A2 - Kaoudi, Zoi

A2 - Galhardas, Helena

A2 - Fundulaki, Irini

A2 - Reinwald, Berthold

A2 - Herschel, Melanie

A2 - Binnig, Carsten

PB - OpenProceedings.org

T2 - 22nd International Conference on Extending Database Technology, EDBT 2019

Y2 - 26 March 2019 through 29 March 2019

ER -

Modeling and Building IoT Data Platforms with Actor-Oriented Databases

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this