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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.
Gulisano et al. (Wed,) studied this question.