A decision maxim for efficient task realization within analytical network infrastructures
- 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.
| Author details: | Marcus GrumORCiDGND, Benedict BenderORCiDGND, A. S. Alfa, Norbert GronauORCiDGND |
|---|---|
| DOI: | https://doi.org/10.1016/j.dss.2018.06.005 |
| ISSN: | 0167-9236 |
| ISSN: | 1873-5797 |
| Title of parent work (English): | Decision support systems : DSS ; the international journal |
| Publisher: | Elsevier |
| Place of publishing: | Amsterdam |
| Publication type: | Article |
| Language: | English |
| Year of first publication: | 2018 |
| Publication year: | 2018 |
| Release date: | 2021/10/26 |
| Tag: | Analytics; Architecture concepts; Cyber-physical systems; Internet of things; Simulation; Task realization strategies |
| Volume: | 112 |
| Number of pages: | 12 |
| First page: | 48 |
| Last Page: | 59 |
| Funding institution: | Advanced Sensor Networks SARChI Chair program; Council for Scientific and Industrial Research (CSIR), through the National Research Foundation (NRF) of South Africa |
| Organizational units: | Wirtschafts- und Sozialwissenschaftliche Fakultät / Wirtschaftswissenschaften |
| DDC classification: | 3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft |
| Peer review: | Referiert |
| Publishing method: | Open Access / Green Open-Access |
