A lightweight decentralized service placement policy for performance optimization in fog computing

被引：95
|
作者：
Guerrero, Carlos [1 ]
Lera, Isaac [1 ]
Juiz, Carlos [1 ]
机构：
[1] Univ Balearic Isl, Comp Sci Dept, Crta Valldemossa Km 7-5, E-07122 Palma De Mallorca, Spain
来源：
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING | 2019年 / 10卷 / 06期
关键词：
Fog computing; Service placement; Performance optimization; INTERNET; THINGS; INTEGRATION; ALLOCATION; METHODOLOGY; MIGRATION; ALGORITHM; EDGE;
D O I：
10.1007/s12652-018-0914-0
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：2447 / 2464
页数：18
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