We are happy and proud to announce that our paper entitled "BigDataStack: A holistic data-driven stack for big data applications and operations", submitted to the IEEE BigData Congress 2018, affiliated with the 2018 IEEE World Congress on Services (IEEE SERVICES 2018), has been accepted for publication.
A vessel has to complete its route within a time-frame. When a part of the main engine fails unexpectedly, the ship risks staying off-hire. This can be very damaging to a shipping company, as chartering revenues decrease, while replacing a spare part immediately increases cost. Thus, identification of potential failure allows timely ordering, or even replacement of spare parts before failure.
BigDataStack will deliver a complete pioneering stack, based on a frontrunner infrastructure management system that drives decisions according to data aspects, thus being fully scalable, runtime adaptable and high-performant to address the emerging needs of big data operations and data-intensive applications.