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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/4662

タイトル: CPU Load Predictions on the Computational Grid
著者: ZHANG, Yuanyuan
SUN, Wei
キーワード: grid computing
task scheduling
CPU load prediction
polynomial fitting
発行日: 2007-01-01
出版者: 電子情報通信学会
誌名: IEICE TRANSACTIONS on Information and Systems
巻: E90-D
号: 1
開始ページ: 40
終了ページ: 47
DOI: 10.1093/ietisy/e90-d.1.40
抄録: To make the best use of the resources in a shared grid environment, an application scheduler must make a prediction of available performance on each resource. In this paper, we examine the problem of predicting available CPU performance in time-shared grid system. We present and evaluate a new and innovative method to predict the one-step-ahead CPU load in a grid. Our prediction strategy forecasts the future CPU load based on the variety tendency in several past steps and in previous similar patterns, and uses a polynomial fitting method. Our experimental results on large load traces collected from four different kinds of machines demonstrate that this new prediction strategy achieves average prediction errors which are between 22% and 86% less than those incurred by four previous methods.
Rights: Copyright (C)2007 IEICE. Yuanyuan Zhang, Wei Sun and Yasushi Inoguchi, IEICE TRANSACTIONS on Information and Systems, E90-D(1), 2007, 40-47. http://www.ieice.org/jpn/trans_online/
URI: http://hdl.handle.net/10119/4662
資料タイプ: publisher
出現コレクション:e10-1. 雑誌掲載論文 (Journal Articles)


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