摘要
针对基于云计算技术的内容分发网络不足以应对大规模业务响应所需的数据计算能力问题,以服务质量(quality of service,QoS)为目标,提出一种基于雾计算的载荷调度算法。算法引入权重机制评估雾节点的载荷度,引入多个指标考察个体节点的可用资源以及个体节点在全网中的载荷响应能力。以此为依据为每一个雾计算设备个性化地定制派送数据分组方案,同时能够在大规模数据转发情形下自适应更新自身的计算受理能力。测试数据表明,算法能够以较低的代价赢得良好QoS。
The large-scale increase of user centered intelligent communication devices in the Internet of things tends to shift the computing focus of network data services to the edge user side.The content distribution network based on cloud computing technology is not enough to deal with the data computing capacity required for large-scale business response.Aiming at this problem,a load scheduling algorithm based on fog calculation with the goal of quality of service is proposed.The algorithm evaluates the load degree of fog nodes by introducing the weight mechanism,and investigates the available resources of individual nodes and the load response ability of individual nodes in the whole network by introducing multiple indicators.On this basis,the delivery data grouping scheme is customized for each fog computing device.At the same time,it can adaptively update its computing acceptance ability in the case of large-scale data forwarding.Test data show that the algorithm can win good QoS at a low cost.
作者
黄金凤
HUANG Jinfeng(Intelligent Transportation Research Institute,Fujian Chuanzheng Communications College,Fuzhou 350007,China)
出处
《枣庄学院学报》
2023年第2期62-66,共5页
Journal of Zaozhuang University
基金
福建省自然科学基金资助项目(2021J01339)
教育部科技发展中心“新一代信息技术创新项目”(2019ITA01022)。
关键词
雾计算
自适应
响应
载荷
fog calculation
adaptive
response
load
