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Patterns grasping the trade-off between distributing data and information

Published: 12 July 2017 Publication History

Abstract

Today, we are at the dawn of the age of cyber-physical systems and internet of things. One of the commonalities these areas share is that such systems typically consist of networks of entities with means to gather data about the state of the surrounding environment. A fundamental design decision in such settings is whether to transfer data to more capable entities or to analyze data at the sensing entity and to share the resulting information. With this work, we discuss this trade-off by grasping it with three patterns, namely the LOCAL DATA PROCESSING, CENTRAL DATA PROCESSING, and MIXED DATA PROCESSING patterns.

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Cited By

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  • (2021)A Survey on the Internet of Things Patterns and Their Classification SchemesProceedings of the Future Technologies Conference (FTC) 2021, Volume 110.1007/978-3-030-89906-6_25(360-388)Online publication date: 24-Oct-2021

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cover image ACM Other conferences
EuroPLoP '17: Proceedings of the 22nd European Conference on Pattern Languages of Programs
July 2017
566 pages
ISBN:9781450348485
DOI:10.1145/3147704
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 the author(s) 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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  • Hillside Europe: Hillside Europe

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 July 2017

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Author Tags

  1. distributed systems
  2. information
  3. raw data

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  • Research-article
  • Research
  • Refereed limited

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EuroPLoP '17

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EuroPLoP '17 Paper Acceptance Rate 34 of 53 submissions, 64%;
Overall Acceptance Rate 216 of 354 submissions, 61%

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  • (2021)A Survey on the Internet of Things Patterns and Their Classification SchemesProceedings of the Future Technologies Conference (FTC) 2021, Volume 110.1007/978-3-030-89906-6_25(360-388)Online publication date: 24-Oct-2021

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