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REMI, Reusable Elements for Multi-Level Information Availability: Demo

Published: 08 June 2017 Publication History

Abstract

Applications targeting Smart Cities tackle common challenges, however solutions are seldom portable from one city to another due to the heterogeneity of city ecosystems. A major obstacle involves the differences in the levels of available information. In this demonstration we present REMI, a reusable elements framework to handle varying degrees of information availability by design from two complementary angles, namely graceful degradation (GRADE) and data enrichment (DARE). In a nutshell, we develop reusable machine learning black boxes for mining and aggregating streaming data, either to infer missing data from available data, or to adapt expected accuracy based on data availability. We illustrate the proposed approach using tram data from the city of Warsaw.

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  • (2020)Multimodal Named Data Discovery with Interest Broadcast Suppression for Vehicular CPSIEEE Transactions on Mobile Computing10.1109/TMC.2020.2971479(1-1)Online publication date: 2020

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cover image ACM Conferences
DEBS '17: Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems
June 2017
393 pages
ISBN:9781450350655
DOI:10.1145/3093742
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 08 June 2017

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Author Tags

  1. Data Enrichment
  2. Graceful Degradation
  3. Information Availability

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DEBS '17 Paper Acceptance Rate 22 of 60 submissions, 37%;
Overall Acceptance Rate 145 of 583 submissions, 25%

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  • (2020)Multimodal Named Data Discovery with Interest Broadcast Suppression for Vehicular CPSIEEE Transactions on Mobile Computing10.1109/TMC.2020.2971479(1-1)Online publication date: 2020

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