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Towards a component infrastructure for cyber-physical systems

Published: 04 April 2016 Publication History

Abstract

The proximity between physical and cyber worlds is permitting the appearance of Cyber-Physical Systems (CPS), formed by users and devices (physical) interacting with services, components and applications (cyber). In CPS, where unpredictability is an important challenge, two characteristics must be present in the developed systems: i) low coupling among interacting modules and ii) self-adaptive capabilities. In that direction, this paper describes an uncoupled sensor and actuator component-based infrastructure for self adaptive CPS. Its main contribution is two-fold: i) a lightweight and interoperable mechanism to specify and manage sensors and actuators, built on top of an ii) uncoupled communication and coordination mechanism for cyber-physical entities.

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E. A. Lee. The past, present and future of cyber-physical systems: A focus on models. Sensors, (3):4837, 2015.
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cover image ACM Conferences
SAC '16: Proceedings of the 31st Annual ACM Symposium on Applied Computing
April 2016
2360 pages
ISBN:9781450337397
DOI:10.1145/2851613
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 April 2016

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Author Tags

  1. component-based development
  2. cyber-physical systems

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  • Research-article

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SAC 2016
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SAC 2016: Symposium on Applied Computing
April 4 - 8, 2016
Pisa, Italy

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SAC '16 Paper Acceptance Rate 252 of 1,047 submissions, 24%;
Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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