Home > Research > Publications & Outputs > Taxonomy of an application model

Electronic data

  • Lea-RJ-Taxonomy-DIVA

    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

    Accepted author manuscript, 502 KB, PDF document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

Links

Text available via DOI:

View graph of relations

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

Published
Close
Publication date25/11/2019
Host publicationDIVANet '19: Proceedings of the 9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications
Place of PublicationNew York
PublisherACM
Pages105-112
Number of pages8
ISBN (print)9781450369077
<mark>Original language</mark>English

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.

Bibliographic note

© 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