@inproceedings{GrumBenderAlfa2017,
  author    = {Grum, Marcus and Bender, Benedict and Alfa, Attahiru S.},
  title     = {The construction of a common objective function for analytical infrastructures},
  series = {2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC)},
  booktitle = {2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC)},
  publisher = {IEEE},
  address   = {New York},
  doi       = {10.1109/ICE.2017.8279892},
  pages     = {219 -- 225},
  year      = {2017},
  abstract  = {The paper deals with the increasing growth of embedded systems and their role within structures similar to the Internet (Internet of Things) as those that provide calculating power and are more or less appropriate for analytical tasks. Faced with the example of a cyber-physical manufacturing system, a common objective function is developed with the intention to measure efficient task processing within analytical infrastructures. A first validation is realized on base of an expert panel.},
  language  = {en}
}
@inproceedings{GrumBenderGronauetal.2020,
  author    = {Grum, Marcus and Bender, Benedict and Gronau, Norbert and Alfa, Attahiru S.},
  title     = {Efficient task realizations in networked production infrastructures},
  series = {Proceedings of the Conference on Production Systems and Logistics},
  booktitle = {Proceedings of the Conference on Production Systems and Logistics},
  publisher = {publish-Ing.},
  address   = {Hannover},
  doi       = {10.15488/9682},
  pages     = {397 -- 407},
  year      = {2020},
  abstract  = {As Industry 4.0 infrastructures are seen as highly evolutionary environment with volatile, and time-dependent workloads for analytical tasks, particularly the optimal dimensioning of IT hardware is a challenge for decision makers because the digital processing of these tasks can be decoupled from their physical place of origin. Flexible architecture models to allocate tasks efficiently with regard to multi-facet aspects and a predefined set of local systems and external cloud services have been proven in small example scenarios. This paper provides a benchmark of existing task realization strategies, composed of (1) task distribution and (2) task prioritization in a real-world scenario simulation. It identifies heuristics as superior strategies.},
  language  = {en}
}