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Towards a platform for community-centric smart connected services

Published: 18 April 2017 Publication History

Abstract

All cities can be seen as a collection of commons. Commons are spaces, services and resources shared by the citizenry. Any change in the state of any one of the commons could lead to a potential action or a cascade of actions. In this paper we illustrate the use of a platform with three components: 1) Eventshop, an event processor, 2) Krumbs a micro-reporting application and, 3) predictive analytics module. The combination of EventShop and micro-reporting provides us with the needed data streams to address a given problem. We illustrate their use in the context of the Trash collection project with Downtown DC and an emergency flood management system. We also provide an architecture for what if analysis based on prior data for planning and augmenting real-time response.

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  • (2020)Transforming Health Care through Digital RevolutionsJournal of the Indian Institute of Science10.1007/s41745-020-00195-0Online publication date: 27-Oct-2020

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cover image ACM Other conferences
SCOPE '17: Proceedings of the 2nd International Workshop on Science of Smart City Operations and Platforms Engineering
April 2017
82 pages
ISBN:9781450349895
DOI:10.1145/3063386
Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2017

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Author Tags

  1. community centric connected systems
  2. modular platform design
  3. polycentric control
  4. predictive analysis
  5. smart services

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CPS Week '17
CPS Week '17: Cyber Physical Systems Week 2017
April 18 - 21, 2017
Pennsylvania, Pittsburgh

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  • (2020)Transforming Health Care through Digital RevolutionsJournal of the Indian Institute of Science10.1007/s41745-020-00195-0Online publication date: 27-Oct-2020

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