摘要
气象卫星地面系统资料处理中心每天要处理大量数据,对于时效性、可靠性的要求非常高。文中借鉴蚁群并行处理算法的思想,结合资源预留策略、动态优先级增加策略以及服务器虚拟化应用概念,提出了一个基于性能预测、计算连接权重的动态并行调度算法——信息素动态加权法,在一定程度上实现了高可用性集群(HPC)中的动态负载平衡,协助系统迅捷、准确地找出最佳服务器响应处理请求,从而提高高性能大型数据处理中心对大容量实时数据的处理效率。
The data-processing center of the meteorological satellite ground application system manages a huge amount of data each day,so high time-efficiency and reliability is required.In view of the high requirement and load balance in the cluster system,in use of the experiences of the Ants algorithm,Reserving Resource,Dynamic Priority strategy,and virtual server application concepts,a parallel-scheduling algorithm （a dynamic pheromone weighting algorithm based on performance forecast and link weight calculation） is presented,which can be applied in the dynamical load balance of HPC,help the cluster find the optimum server to deal with the requirements of application rapidly and exactly,thus realize the high date-processing capability of the data processing center.
出处
《气象科技》
北大核心
2010年第1期96-101,共6页
Meteorological Science and Technology
关键词
卫星遥感资料处理
资源预约
信息素动态加权
虚拟化
集群系统
meteorological satellite date-processing
resource reserving
dynamic pheromone weighting
virtualization
cluster system
