Advanced

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
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.
(Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
in press
subject
in
UCC'16
conference name
9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2016)
language
English
LU publication?
yes
id
c2d4bcb5-2a01-4002-8951-5bac659ef4a1
date added to LUP
2016-09-21 14:22:30
date last changed
2016-09-22 09:10:31
@misc{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 },
  language     = {eng},
  series       = {UCC'16},
  title        = {Experiences Creating a Framework for Smart Traffic Control using AWS IOT},
  year         = {2016},
}