摘要
传统云任务调度控制算法无法高效调节调度负载的均衡性,云平台整体服务质量不够理想,导致当前已有研究结果存在时延高、负载均衡控制效果不好等问题。为此,提出多QoS目标约束下云任务调度负载均衡控制算法。建立多QoS目标约束下的云任务协同调度模型。将云任务调度状态作为依据,计算负载均衡状态参数,确定负载平衡门限。当负载均衡超出平衡门限范围,控制节点切换负载,实现对负载均衡的控制。实验结果显示:提出算法的网络延迟小、负载均衡控制效果理想。结论:该控制算法优于常规的负载均衡控制算法,实用性更强。
Traditional cloud task scheduling control algorithms cannot efficiently adjust the scheduling load balancing, and the overall service quality of the cloud platform is not ideal.As a result, the existing research results have problems such as high delay and poor load balancing control effect.Therefore, a load balancing control algorithm for cloud task scheduling under multi-QoS objective constraints is proposed.The cooperative scheduling model of cloud tasks under the constraint of multiple QoS objectives is established.Based on the cloud task scheduling status, the load balancing status parameters are calculated and the load balancing threshold is determine.When the load balance exceeds the threshold, the control node switches loads to implement load balance control.Experimental results show that the proposed algorithm has low network delay and good load balancing control effect.Threfore, this control algorithm is better than the conventional load balancing control algorithm, and more practical.
作者
朱晓彦
Zhu Xiaoyan(School of Computer and Art,Anhui Vocational Institute of Industry and Economy,Hefei City,Anhui Province 230051)
出处
《黄河科技学院学报》
2022年第2期31-35,共5页
Journal of Huanghe S&T College
基金
安徽省教育厅技术技能型大师工作室(高职)“朱晓彦技术技能大师工作室”(2020dsgzs08)
安徽省教育厅特色专业教学资源库(高职)“云计算技术与应用专业教学资源”(2020zyk04)。
关键词
QOS
多目标约束
云任务
协同调度
负载均衡
重负载
QoS
ulti-objective constraint
cloud task
collaborative scheduling
load balancing
heavy load
