6年后你的工作量会是怎样的?分析维基媒体的工作量

2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI:10.1109/IC2E.2014.50

A. Ali-Eldin, A. Rezaie, Amardeep Mehta, Stanislav Razroev, S. S. Luna, O. Seleznjev, Johan Tordsson, E. Elmroth

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引用次数: 39

摘要

准确理解工作负载是高效云资源管理和大规模应用程序设计的关键。我们对世界上最大的网站之一维基百科的工作量进行分析和建模。通过描述性统计、时间序列分析和多项式样条，我们研究了工作负载的趋势和季节性，以及多年来的演变，还研究了页面流行度的模式。我们的研究结果表明，工作量是高度可预测的，具有很强的季节性。我们的短期预测算法能够以2%左右的平均绝对百分比误差预测工作负载。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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How will Your Workload Look Like in 6 Years? Analyzing Wikimedia's Workload

Accurate understanding of workloads is key to efficient cloud resource management as well as to the design of large-scale applications. We analyze and model the workload of Wikipedia, one of the world's largest web sites. With descriptive statistics, time-series analysis, and polynomial splines, we study the trend and seasonality of the workload, its evolution over the years, and also investigate patterns in page popularity. Our results indicate that the workload is highly predictable with a strong seasonality. Our short term prediction algorithm is able to predict the workload with a Mean Absolute Percentage Error of around 2%.

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2014 IEEE International Conference on Cloud Engineering

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