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■ REMI, Reusable Elements for Multi-Level Information Availability

A. Senderovich, N. Rivetti, A. Gal, N. Panagiotou, I. Katakis, D. Gunopulos, V. Kalogeraki: REMI, Reusable Elements for Multi-Level Information Availability. Accepted in DEBS 2017
We provide a framework that enables data solutions to run on less-than-perfect sources of information. We name our solution REMI for Reusable Elements for Missing Information. Our approach comprises of elements that can adapt themselves, by design, to the changing levels of data availability. The core of the REMI framework is the layered stack architecture, equipped with data processing units with two additional computational elements, namely DARE (data enrichment) and GRADE (graceful degradation).


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.

Bibtex Entry:
 author = {Gal, Avigdor and Rivetti, Nicolo and Senderovich, Arik and Gunopulos, Dimitrios and Katakis, Ioannis and Panagiotou, Nikolaos and Kalogeraki, Vana},
 title = {REMI, Reusable Elements for Multi-Level Information Availability: Demo},
 booktitle = {Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems},
 series = {DEBS '17},
 year = {2017},
 isbn = {978-1-4503-5065-5},
 location = {Barcelona, Spain},
 pages = {323--326},
 numpages = {4},
 url = {},
 doi = {10.1145/3093742.3095091},
 acmid = {3095091},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {Data Enrichment, Graceful Degradation, Information Availability},