The DEBS 2018 Grand Challenge
Paper i proceeding, 2019

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, Data- och informationsteknik, Nätverk och system

Holger Ziekow

Hochschule Furtwangen (HFU)

Dimitris Zissis

Panepistimion Aegaeou

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


Inbäddad systemteknik

Datavetenskap (datalogi)


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