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- W3118638280 abstract "The Internet of things (IoT) is the integration of information space and physical space, becoming more and more popular in several places. In this paper, we will present QoS service composition approach based on multi-population genetic algorithm based on Fog-IoT computing, IoT-cloud architecture problems led us to use the 5-layared architecture implemented on a Fog computing system especially the transport layer. Our work was focus on this transport layer where we divided it into four sub-layers (security, storage, pre-processing & monitoring), it allows us to have promising advantages. Secondly, we implemented a multi-population genetic algorithm (MPGA) based on a QoS model, we considered seven QoS dimensions, i.e. Cost, response time, reliability, reputation, location, security and availability. Experimental results show the excellent results of MPGA in terms of fitness value and execution time to handle our ambulance emergency study case." @default.
- W3118638280 created "2021-01-18" @default.
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- W3118638280 date "2020-11-28" @default.
- W3118638280 modified "2023-10-15" @default.
- W3118638280 title "QoS-aware service composition in Fog-IoT computing using multi-population genetic algorithm" @default.
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- W3118638280 doi "https://doi.org/10.1109/acit50332.2020.9300090" @default.
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