@article{Grum2018,
  author    = {Grum, Marcus},
  title     = {Manufacturing Analytics},
  series = {Von Industrial Internet of Things zu Industrie 4.0. Band 2},
  journal   = {Von Industrial Internet of Things zu Industrie 4.0. Band 2},
  publisher = {Gito},
  address   = {Berlin},
  isbn      = {978-3-95545-261-2},
  pages     = {149 -- 190},
  year      = {2018},
  language  = {de}
}
@article{GrumBenderAlfaetal.2018,
  author    = {Grum, Marcus and Bender, Benedict and Alfa, A. S. and Gronau, Norbert},
  title     = {A decision maxim for efficient task realization within analytical network infrastructures},
  series = {Decision support systems : DSS ; the international journal},
  volume    = {112},
  journal   = {Decision support systems : DSS ; the international journal},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0167-9236},
  doi       = {10.1016/j.dss.2018.06.005},
  pages     = {48 -- 59},
  year      = {2018},
  abstract  = {Faced with the increasing needs of companies, optimal dimensioning of IT hardware is becoming challenging for decision makers. In terms of analytical infrastructures, a highly evolutionary environment causes volatile, time dependent workloads in its components, and intelligent, flexible task distribution between local systems and cloud services is attractive. With the aim of developing a flexible and efficient design for analytical infrastructures, this paper proposes a flexible architecture model, which allocates tasks following a machine-specific decision heuristic. A simulation benchmarks this system with existing strategies and identifies the new decision maxim as superior in a first scenario-based simulation.},
  language  = {en}
}