摘要
针对多用户批量下载遥感数据时带来的速率问题,本文提出了一种基于p2p的多任务负载均衡分配策略和单数据下载时的最优多源节点选择策略。先根据节点的网络带宽、CPU资源以及存储能力得到节点下载序列,再通过调整节点数量让每个数据下载时尽量得到最优节点总数,来实现内容分发网络的负载均衡,在网络拥挤的情况下,这种方式有效加快了用户下载遥感影像数据的速度,缓解了网站自身的性能压力。
For the speed problems of multiple-user batch download remote sensing data,this paper proposes a multiple tasks load balance allocation strategy based on p2p and single data download the optimal source node selection strategy.Firstly,according to the network bandwidth,storage capacity and CPU resources of nodes to determine the node sequence,again by adjusting the number of nodes for each data download to get the optimal number of nodes as far as possible,to realize the content delivery network load balancing,in the case of network congestion.This approach effectively accelerates the speed when user downloading remote sensing image data,reduce the pressure on the performance of the site itself.
作者
孟敏
马骏
王栋
Min MENG;Jun MA;Dong WANG(Computer and Information Engineering College,Henan University,Kaifeng,Henan 475001,China;Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences,Beijing 100012,China)
基金
高分重大专项课题“地球表层系统科学研究应用示范系统(一期)”(Y4D00100GF)
高分重大专项课题基础信息产品生产算法集成研究(Y4D0100038)
中科院战略先导专项课题气溶胶关联的云参数卫星遥感(Y1Y02230XD)。
关键词
P2P
多源节点
快速下载
负载均衡
批量下载
最优节点
P2P
Multiple Source Node
The Optimal Rate
Load Balancing
Batch Download
The Optimal Node