关键词: 性能预测, 云计算, 移动平均线

Abstract: Performance prediction is necessary for intelligent resource allocation on the cloud platform. This paper analyzes present predicting methods from three aspects: data collection, data processing and predication methods. Then, it proposes an approach for long-term trend prediction using moving averages method. To better tolerate performance jitter in a small range, it further improves the conventional moving averages method with signal filtering mechanism using standard deviations. An experiment is exercised on Amazon Elastic Compute Cloud platform to illustrate the proposed approach of performance monitoring, analysis and prediction.

Key words: performance prediction, cloud computing, moving averages