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A decision maxim for efficient task realization within analytical network infrastructures
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DOI：10.1016/j.dss.2018.06.005.png)
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Abstract
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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.
Keywords:
Analytics
Architecture concepts
Cyber-physical systems
Internet of things
Task realization strategies
Simulation
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