期刊
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
卷 114, 期 -, 页码 29-37出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jnca.2018.04.007
关键词
SG; NFV; Fog Computing; Optimization; MILP
类别
资金
- Ministerio de Economia y Competitividad of the Spanish Government [TEC2016-76795-C6-1-R]
- AEI/FEDER, UE
Under 5G use case scenarios latency is a main challenge that must be addressed, since mission critical environments are mostly delay sensitive. To achieve this goal, the service infrastructure placement optimization is needed in the interest of minimizing the delays in the service access layer. To solve this problem, this paper mathematically models the placement problem in a Fog Computing/NFV environment as a Mixed-Integer Linear Programming problem and proposes a heuristic-based solution considering 5G mobile network requirements. As a practical result, an application was developed to achieve usability and flexibility while ensuring operational applicability of the proposed methods.
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