摘要:
动态集群配置中的调节方式大多基于特定的物理实验模型而非数学模型描述。针对上述问题,提出基于预测的动态集群配置策略,根据网络中服务请求的历史信息,采用最小均方误差预测未来时刻服务请求情况,根据负载请求与集群处理能力决定服务器规模的增减,动态调节服务器集群中计算机的开启与关断。实验结果证明了该调度策略的可行性和优越性。
关键词:
服务器集群,
动态集群配置,
预测算法,
LMS算法,
节能
Abstract:
Previous dynamic cluster configuration methods are based on the specific physical experimental models without the description of mathematical models. Aiming at the problem, this paper proposes a prediction-based dynamic clusters configuration strategy, which uses least mean square to predict the situation of service requests in the future time according to the network historical information of service requests. On the basis of the load requests and the clusters processing power, it decides the servers’ scale and dynamically adjusts the opening and shutdown of the computers in the server cluster. Experimental result verifies the feasibility and superiority of the schedule strategy.
Key words:
server cluster,
dynamic cluster configuration,
prediction algorithm,
LMS algorithm,
energy conservation
中图分类号:
刘斌, 杨坚, 赵宇. 基于在线负载预测的动态集群节能配置策略[J]. 计算机工程, 2010, 36(24): 96-98.
LIU Bin, YANG Jian, DIAO Yu. Dynamic Cluster Configuration Strategy for Energy Conservation Based on Online Load Prediction[J]. Computer Engineering, 2010, 36(24): 96-98.