Real-time performance prediction for cloud components
Refereed conference paper presented and published in conference proceedings

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其它資訊
摘要Cloud computing provides access to large pools of distributed components for building high-quality applications. User-side performance of cloud components highly depends on the remote server status as well as the unpredictability of the Internet, which are variable over time. It is an important task to explore an method to predict the real-time performance of cloud components. To address this critical challenge, this paper proposes a prediction framework to predict real-time component performance effectively. Our prediction framework builds feature models based on the past usage experience of different users and employs time series analysis techniques on feature trends to make performance prediction. The results of large-scale experiments show the effectiveness and efficiency of our method. © 2012 IEEE.
著者Zhang Y., Zheng Z., Lyu M.R.
出版年份2012
月份5
日期31
頁次106 - 111
國際標準書號9780769546698
語言英式英語

上次更新時間 2020-16-10 於 01:17