关键词: 能耗预测模型, 线性回归, 限制下预测控制, MapReduce

Abstract: In recent years, researchers pay more attention to the power consumption controlling in clusters. People have tried hard to reduce the power consumption of clusters. However, managing power is more important than reducing it. Power consumption is considered as an item which can be managed in clusters. For example, clients give the power consumption that they need and can afford. Managers use strategies to accomplish tasks submitted by clients and satisfy the power constraints given by clients. This paper designs two power controlling and predicting approaches based on HDFS (Hadoop distributed file system) clusters, sets power budget to every node in clusters and sets dynamic and non-uniform power constraints to control power consumption of the whole clusters. Beside this, this paper designs a stepwise multiple linear model to predict power and also tests and verifies these two approaches of predictive power controlling.

Key words: power predictive model, linear regression, predictive