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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/4664

Title: Influence of Inaccurate Performance Prediction on Task Scheduling in a Grid Environment
Authors: ZHANG, Yuanyuan
INOGUCHI, Yasushi
Keywords: grid computing
task scheduling
performance prediction
task selection
processor selection
Issue Date: 2006-02-01
Publisher: 電子情報通信学会
Magazine name: IEICE TRANSACTIONS on Information and Systems
Volume: E89-D
Number: 2
Start page: 479
End page: 486
DOI: 10.1093/ietisy/e89-d.2.479
Abstract: Efficient task scheduling is critical for achieving high performance in grid computing systems. Existing task scheduling algorithms for grid environments usually assume that the performance prediction for both tasks and resources is perfectly accurate. In practice, however, it is very difficult to achieve such an accurate prediction in a heterogeneous and dynamic grid environment. Therefore, the performance of a task scheduling algorithm may be significantly influenced by prediction inaccuracy. In this paper, we study the influence of inaccurate predictions on task scheduling in the contexts of task selection and processor selection, which are two critical phases in task scheduling algorithms. We develop formulas for the misprediction degree, which is defined as the probability that the predicted values for the performances of tasks and processors reveal different orders from their real values. Based on these formulas, we also investigate the effect of several key parameters on the misprediction degree. Finally, we conduct extensive simulation for the sensitivities of some existing task scheduling algorithms to the prediction errors.
Rights: Copyright (C)2006 IEICE. Yuanyuan Zhang and Yasushi Inoguchi, IEICE TRANSACTIONS on Information and Systems, E89-D(2), 2006, 479-486. http://www.ieice.org/jpn/trans_online/
URI: http://hdl.handle.net/10119/4664
Material Type: publisher
Appears in Collections:e10-1. 雑誌掲載論文 (Journal Articles)

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