Journal
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
Volume 10, Issue 6, Pages 2447-2464Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s12652-018-0914-0
Keywords
Fog computing; Service placement; Performance optimization
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Funding
- Spanish Government (Agencia Estatal de Investigacion)
- European Commission (Fondo Europeo de Desarrollo Regional) [TIN2017-88547-P]
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A decentralized optimization policy for service placement in fog computing is presented. The optimization is addressed to place most popular services as closer to the users as possible. The experimental validation is done in the iFogSim simulator and by comparing our algorithm with the simulator's built-in policy. The simulation is characterized by modeling a microservice-based application for different experiment sizes. Results showed that our decentralized algorithm places most popular services closer to users, improving network usage and service latency of the most requested applications, at the expense of a latency increment for the less requested services and a greater number of service migrations.
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