Fuzzy Logic Based Load Balancing for An Online Medical Consultation System

被引：0
|
作者：
Premarathne, Uthpala Subodhani [1 ]
Han, Fengling
Khalil, Ibrahim
Tari, Zahir [2 ]
机构：
[1] RMIT Univ, Sch Comp Sci & IT, Natl ICT Australia NICTA, Melbourne, Vic 3001, Australia
[2] RMIT Univ, Sch Comp Sci & IT, Melbourne, Vic 3001, Australia
来源：
PROCEEDINGS OF THE 2013 IEEE 8TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA) | 2013年
基金：
澳大利亚研究理事会;
关键词：
HEALTH-CARE; ERRORS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The aim of a medical consultation system is to deliver reliable healthcare services efficiently. In this paper we propose an online medical consultation system with load balancing as an assurance for maximum resource utilization. Rule-based fuzzy controlled load balancing is applied to a homogeneous system consisting of three medical centers with limited capacities. Performance was comparatively analysed using three weighted rule sets. The results reveal that the load balancing accuracy vary for different rule sets. By incorporating error correction, the accuracy of adjustments is improved with an average of 96%. In conclusion, load balancing is an efficient alternative approach that can avoid possible over-crowding or underloaded situations in an online medical consultation system.
引用
收藏
页码：284 / 289
页数：6
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