Experiences Creating a Framework for Smart Traffic Control using AWS IOT
(2016) 9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2016) p.63-69- Abstract
- Public clouds such as Amazon Web Services (AWS) and Microsoft’s Azure provide excellent capabilities for scalable Web applications and Hadoop-based processing. Recent ad- ditions to public clouds to support connected devices and IoT have the potential to similarly disrupt emerging home- grown and/or proprietary approaches. While early public cloud IoT success stories have focused on smaller-scale sce- narios such as connected houses, it is unclear to what ex- tent these new public cloud mechanisms and abstractions are suitable and effective for larger-scale and/or scientific scenarios, which often have a different set of constraints or requirements. In this paper, the design and implementa- tion of a representative cloud-based IoT... (More)
- Public clouds such as Amazon Web Services (AWS) and Microsoft’s Azure provide excellent capabilities for scalable Web applications and Hadoop-based processing. Recent ad- ditions to public clouds to support connected devices and IoT have the potential to similarly disrupt emerging home- grown and/or proprietary approaches. While early public cloud IoT success stories have focused on smaller-scale sce- narios such as connected houses, it is unclear to what ex- tent these new public cloud mechanisms and abstractions are suitable and effective for larger-scale and/or scientific scenarios, which often have a different set of constraints or requirements. In this paper, the design and implementa- tion of a representative cloud-based IoT infrastructure in a specific public cloud – AWS – is presented. The system created is for dynamic vehicle traffic control based on vehi- cle volumes/patterns and public transport punctuality. We find that constructing server-less, stateful, and data driven IoT applications in AWS that can operate in real-time is non-trivial. The primary challenges span application man- ageability and design, latency performance, asynchronicity, and scalability.
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Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/c2d4bcb5-2a01-4002-8951-5bac659ef4a1
- author
- Tärneberg, William LU ; Chandrasekaran, Vishal and Humphrey, Marty
- organization
- publishing date
- 2016
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- UCC'16 : Proceedings of the 9th International Conference on Utility and Cloud Computing - Proceedings of the 9th International Conference on Utility and Cloud Computing
- pages
- 7 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2016)
- conference location
- Shanghai, China
- conference dates
- 2016-12-06 - 2016-12-09
- external identifiers
-
- scopus:85009145346
- wos:000405576700009
- ISBN
- 978-1-4503-4616-0
- DOI
- 10.1145/2996890.2996911
- language
- English
- LU publication?
- yes
- id
- c2d4bcb5-2a01-4002-8951-5bac659ef4a1
- date added to LUP
- 2016-09-21 14:22:30
- date last changed
- 2022-04-24 17:38:10
@inproceedings{c2d4bcb5-2a01-4002-8951-5bac659ef4a1,
abstract = {{Public clouds such as Amazon Web Services (AWS) and Microsoft’s Azure provide excellent capabilities for scalable Web applications and Hadoop-based processing. Recent ad- ditions to public clouds to support connected devices and IoT have the potential to similarly disrupt emerging home- grown and/or proprietary approaches. While early public cloud IoT success stories have focused on smaller-scale sce- narios such as connected houses, it is unclear to what ex- tent these new public cloud mechanisms and abstractions are suitable and effective for larger-scale and/or scientific scenarios, which often have a different set of constraints or requirements. In this paper, the design and implementa- tion of a representative cloud-based IoT infrastructure in a specific public cloud – AWS – is presented. The system created is for dynamic vehicle traffic control based on vehi- cle volumes/patterns and public transport punctuality. We find that constructing server-less, stateful, and data driven IoT applications in AWS that can operate in real-time is non-trivial. The primary challenges span application man- ageability and design, latency performance, asynchronicity, and scalability.<br/>}},
author = {{Tärneberg, William and Chandrasekaran, Vishal and Humphrey, Marty}},
booktitle = {{UCC'16 : Proceedings of the 9th International Conference on Utility and Cloud Computing}},
isbn = {{978-1-4503-4616-0}},
language = {{eng}},
pages = {{63--69}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Experiences Creating a Framework for Smart Traffic Control using AWS IOT}},
url = {{http://dx.doi.org/10.1145/2996890.2996911}},
doi = {{10.1145/2996890.2996911}},
year = {{2016}},
}