基于生物地理学优化算法的在线课程查询调度算法研究  

Study on Online Course Query Scheduling Algorithm Based onBiogeography-Based Optimization Algorithm

作　　者：王剑钊 刘佳娜 Wang Jianzhao;Liu Jiana(School of Medical Information Engineering,Heilongjiang University of Traditional Chinese Medicine,Harbin 150040,China;Harbin Vocational and Technical College,Harbin 150040,China)

机构地区：[1]黑龙江中医药大学医学信息工程学院,黑龙江哈尔滨150040 [2]哈尔滨职业技术学院,黑龙江哈尔滨150040

出　　处：《甘肃科学学报》2020年第2期79-83,共5页Journal of Gansu Sciences

基　　金：基于“互联网+”技术翻转课堂教学模式的研究(SJGY20180485)。

摘　　要：为解决大规模在线课程查询负载均衡的问题,降低系统负载率,在平衡负载的自适应查处调度器的基础上,提出一种基于生物地理学优化算法(BBO)优化平衡负载的自适应查处调度器(BAQP)期望代价矩阵的在线课程查询调度算法。选择系统的总体负载消耗系数作为评价指标,运用BBO算法优化获取在线课程的最优查询方案。通过静态权值和动态权值不同任务和资源查询调度性能对比可知,BBO算法较Min-Min和Max-Min算法具有更强的系统负载平衡能力和较低的系统负载率,可以有效降低系统消耗系数。In order to solve the problem of large-scale online course query load balancing and reduce the system load rate,on the basis of the self-adaptive query scheduler of balanced load,this paper put forward an online course query scheduling algorithm based on the biogeography-based optimization algorithm for self-adaptive query scheduler expectation cost matrix to optimize balanced load,selected the total load consumption coefficient of system as the evaluation index,and used BBO algorithm to optimize the optimal query scheme for online courses.By comparing the performance of tasks and resources query scheduling between static weighted value and dynamic weighted value,the BBO algorithm has stronger system load balancing ability and lower system load rate than Min-Min and Max-Min algorithms,which can effectively reduce the system consumption coefficient.

关 键 词：生物地理学优化算法 大规模在线课程 负载平衡 Max-Min算法 MIN-MIN算法 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]