Method for Dynamic Service Orchestration in Fog Computing

Fog computing is meant to deal with the problems which cloud computing cannot solve alone. As the fog is closer to a user, it can improve some very important QoS characteristics, such as a latency and availability. One of the challenges in the fog architecture is heterogeneous constrained devices an...

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Bibliographic Details
Published in:Electronics (Basel) 2021-08, Vol.10 (15), p.1796
Main Authors: Morkevicius, Nerijus, Venčkauskas, Algimantas, Šatkauskas, Nerijus, Toldinas, Jevgenijus
Format: Article
Language:English
Subjects:
Access control
Analytic hierarchy process
Bandwidths
Cloud computing
Genetic algorithms
Interoperability
Multiple objective analysis
Nodes
Optimization techniques
Pareto optimization
Particle swarm optimization
Placement
Privacy
Quality of service
Security services
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Summary:Fog computing is meant to deal with the problems which cloud computing cannot solve alone. As the fog is closer to a user, it can improve some very important QoS characteristics, such as a latency and availability. One of the challenges in the fog architecture is heterogeneous constrained devices and the dynamic nature of the end devices, which requires a dynamic service orchestration to provide an efficient service placement inside the fog nodes. An optimization method is needed to ensure the required level of QoS while requiring minimal resources from fog and end devices, thus ensuring the longest lifecycle of the whole IoT system. A two-stage multi-objective optimization method to find the best placement of services among available fog nodes is presented in this paper. A Pareto set of non-dominated possible service distributions is found using the integer multi-objective particle swarm optimization method. Then, the analytical hierarchy process is used to choose the best service distribution according to the application-specific judgment matrix. An illustrative scenario with experimental results is presented to demonstrate characteristics of the proposed method.
ISSN:2079-9292
2079-9292
DOI:10.3390/electronics10151796