@article{Gronau2018, author = {Gronau, Norbert}, title = {Industrie 4.0}, 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 = {191 -- 228}, year = {2018}, language = {de} } @book{GronauGaebler2018, author = {Gronau, Norbert and G{\"a}bler, Andreas}, title = {Einf{\"u}hrung in die Wirtschaftsinformatik : Bd. 1}, series = {Skripte zur Wirtschafsinformatik}, journal = {Skripte zur Wirtschafsinformatik}, edition = {7. {\"u}berarb. Aufl.}, publisher = {Gito}, address = {Berlin}, isbn = {978-3-95545-233-9}, publisher = {Universit{\"a}t Potsdam}, pages = {238}, 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} }