The DEBS 2018 Grand Challenge
Paper in proceeding, 2018

The ACM DEBS 2018 Grand Challenge is the eighth in a series of challenges which seek to provide a common ground and evaluation criteria for a competition aimed at both research and industrial event-based systems. The focus of the 2018 Grand Challenge is on the application of machine learning to spatio-temporal streaming data. The goal of the challenge is to make the naval transportation industry more reliable by providing predictions for vessels’ destinations and arrival times. This paper describes the specifics of the data streams and queries that define the DEBS 2018 Grand Challenge. It also describes the benchmarking platform that supports testing of corresponding solutions.

event processing

maritime transportation



Zbigniew Jerzak


Pavel Smirnov

AGT International

Martin Strohbach

AGT International

Vincenzo Massimiliano Gulisano

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Holger Ziekow

Furtwangen University (HFU)

Dimitris Zissis

University of the Aegean

Proceedings of the ACM Conference on Computer and Communications Security

15437221 (ISSN)


12th ACM International Conference on Distributed and Event-based Systems
Hamilton, New Zealand,

Subject Categories

Embedded Systems

Computer Science

Computer Systems



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