학술논문
A lightweight decentralized service placement policy for performance optimization in fog computing
Document Type
Working Paper
Author
Source
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING. 10 - 6, pp. 2447 - 2464. SPRINGER HEIDELBERG, 01/06/2019
Subject
Language
Abstract
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.