计算机科学与探索Issue(5)：394-404,11.DOI:10.3778/j.issn.1673-9418.1212015
HDFS集群中功率预测控制策略的设计与分析*
Design and Analysis of Power Predictive Control in HDFS Clusters
摘要
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.关键词
能耗预测模型/线性回归/限制下预测控制/MapReduceKey words
power predictive model/linear regression/predictive control with constraints/MapReduce分类
信息技术与安全科学引用本文复制引用
徐艺境,栾钟治,钱德沛,管刚,谢明..HDFS集群中功率预测控制策略的设计与分析*[J].计算机科学与探索,2013,(5):394-404,11.基金项目
The National Natural Science Foundation of China under Grant No.61133004(国家自然科学基金) （国家自然科学基金）
the National High-Tech Research and Development Plan of China under Grant No.2011AA01A203(国家高技术研究发展计划(863)) （国家高技术研究发展计划(863）
the International Science and Technology Cooperation Program of MOST of China under Grant No.2009DFA12110(国际科技合作计划) （国际科技合作计划）
