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    Rights statement: © ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in DIVANet '19: Proceedings of the 9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications http://doi.acm.org/10.1145/3345838.3356001

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Taxonomy of an application model: Toward building large scale, connected vehicle applications

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Taxonomy of an application model: Toward building large scale, connected vehicle applications. / Giang, N.K.; Leung, V.C.M.; Lea, R.
DIVANet '19: Proceedings of the 9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications. New York: ACM, 2019. p. 105-112.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Giang, NK, Leung, VCM & Lea, R 2019, Taxonomy of an application model: Toward building large scale, connected vehicle applications. in DIVANet '19: Proceedings of the 9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications. ACM, New York, pp. 105-112. https://doi.org/10.1145/3345838.3356001

APA

Giang, N. K., Leung, V. C. M., & Lea, R. (2019). Taxonomy of an application model: Toward building large scale, connected vehicle applications. In DIVANet '19: Proceedings of the 9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications (pp. 105-112). ACM. https://doi.org/10.1145/3345838.3356001

Vancouver

Giang NK, Leung VCM, Lea R. Taxonomy of an application model: Toward building large scale, connected vehicle applications. In DIVANet '19: Proceedings of the 9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications. New York: ACM. 2019. p. 105-112 doi: 10.1145/3345838.3356001

Author

Giang, N.K. ; Leung, V.C.M. ; Lea, R. / Taxonomy of an application model : Toward building large scale, connected vehicle applications. DIVANet '19: Proceedings of the 9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications. New York : ACM, 2019. pp. 105-112

Bibtex

@inproceedings{03c676ab4eca4a9eb23598390713d526,
title = "Taxonomy of an application model: Toward building large scale, connected vehicle applications",
abstract = "With the advent of advanced computing systems beyond personal computing, such as mobile computing, cloud computing or recently, vehicular ad-hoc network, it is crucial that we understand the application development process of each type of these systems. Better understanding of how applications are built in different environment allows us to design better application models and system supports for developers. This paper studies the taxonomy of application models and defines its consisting aspects, namely application scope, application abstraction level, application structure, communication model and programming model. With the better understanding of the application models in general, we lay out the requirements for developing a class of large scale connected vehicle applications.",
author = "N.K. Giang and V.C.M. Leung and R. Lea",
note = "{\textcopyright} ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in DIVANet '19: Proceedings of the 9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications http://doi.acm.org/10.1145/3345838.3356001",
year = "2019",
month = nov,
day = "25",
doi = "10.1145/3345838.3356001",
language = "English",
isbn = "9781450369077",
pages = "105--112",
booktitle = "DIVANet '19",
publisher = "ACM",

}

RIS

TY - GEN

T1 - Taxonomy of an application model

T2 - Toward building large scale, connected vehicle applications

AU - Giang, N.K.

AU - Leung, V.C.M.

AU - Lea, R.

N1 - © ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in DIVANet '19: Proceedings of the 9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications http://doi.acm.org/10.1145/3345838.3356001

PY - 2019/11/25

Y1 - 2019/11/25

N2 - With the advent of advanced computing systems beyond personal computing, such as mobile computing, cloud computing or recently, vehicular ad-hoc network, it is crucial that we understand the application development process of each type of these systems. Better understanding of how applications are built in different environment allows us to design better application models and system supports for developers. This paper studies the taxonomy of application models and defines its consisting aspects, namely application scope, application abstraction level, application structure, communication model and programming model. With the better understanding of the application models in general, we lay out the requirements for developing a class of large scale connected vehicle applications.

AB - With the advent of advanced computing systems beyond personal computing, such as mobile computing, cloud computing or recently, vehicular ad-hoc network, it is crucial that we understand the application development process of each type of these systems. Better understanding of how applications are built in different environment allows us to design better application models and system supports for developers. This paper studies the taxonomy of application models and defines its consisting aspects, namely application scope, application abstraction level, application structure, communication model and programming model. With the better understanding of the application models in general, we lay out the requirements for developing a class of large scale connected vehicle applications.

U2 - 10.1145/3345838.3356001

DO - 10.1145/3345838.3356001

M3 - Conference contribution/Paper

SN - 9781450369077

SP - 105

EP - 112

BT - DIVANet '19

PB - ACM

CY - New York

ER -