@inproceedings{ZuchHausotterKoschel2018,
  author    = {Malte Zuch and Andreas Hausotter and Arne Koschel},
  title     = {Handling Matrix Calculations with Microservices within Scenarios of Modern Mobility},
  series = {SERVICE COMPUTATION 2018, The Tenth International Conference on Advanced Service Computing},
  publisher = {IARIA},
  isbn      = {978-1-61208-606-4},
  issn      = {2308-3549},
  doi       = {10.25968/opus-2589},
  url       = {http://nbn-resolving.de/urn:nbn:de:bsz:960-opus4-25897},
  pages     = {25 -- 29},
  year      = {2018},
  abstract  = {In the context of modern mobility, topics such as smart-cities, Car2Car-Communication, extensive vehicle sensor-data, e-mobility and charging point management systems have to be considered. These topics of modern mobility often have in common that they are characterized by complex and extensive data situations. Vehicle position data, sensor data or vehicle communication data must be preprocessed, aggregated and analyzed. In many cases, the data is interdependent. For example, the vehicle position data of electric vehicles and surrounding charging points have a dependence on one another and characterize a competition situation between the vehicles. In the case of Car2Car-Communication, the positions of the vehicles must also be viewed in relation to each other. The data are dependent on each other and will influence the ability to establish a communication. This dependency can provoke very complex and large data situations, which can no longer be treated efficiently. With this work, a model is presented in order to be able to map such typical data situations with a strong dependency of the data among each other. Microservices can help reduce complexity.},
  language  = {en}
}