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Experiences Creating a Framework for Smart Traffic Control using AWS IOT

Tärneberg, William LU ; Chandrasekaran, Vishal and Humphrey, Marty (2016) 9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2016) In UCC'16 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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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
UCC'16
pages
63 - 69
conference name
9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2016)
external identifiers
  • Scopus:85009145346
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
2017-01-29 04:32:27
@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},
  language     = {eng},
  pages        = {63--69},
  title        = {Experiences Creating a Framework for Smart Traffic Control using AWS IOT},
  url          = {http://dx.doi.org/10.1145/2996890.2996911},
  year         = {2016},
}