Wavelet-based dynamic power management for nonstationary service requests-Reference-Cited by-同舟云学术

Wavelet-based dynamic power management for nonstationary service requests

Published:2008-01 Issue:1 Volume:13 Page:1-41
ISSN:1084-4309
Container-title:ACM Transactions on Design Automation of Electronic Systems
language:en
Short-container-title:ACM Trans. Des. Autom. Electron. Syst.

Author:

Abbasian A.¹,Hatami S.²,Afzali-Kusha A.³,Pedram M.²

Affiliation:

1. Jundi-Shapur University of Technology, Dezfoul, Iran

2. University of Southern California, Los Angeles, CA

3. University of Tehran, Tehran, Iran

Abstract

In this article, a wavelet-based dynamic power management policy (WBDPM) is proposed. In this approach, the workload source (service requester) is modeled by a nonstationary time series which, in turn, represented by a nondecimated Haar wavelet as its basis. The proposed approach is robust and has the ability to minimize energy dissipation under different performance constraints. To assess the accuracy of the model, the algorithm was implemented for data extracted from the hard disks of computers. Prediction results of this approach for the case of a nonstationary service requester exhibit accuracies of more than 95%.

Publisher

Association for Computing Machinery (ACM)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications

Link

https://dl.acm.org/doi/pdf/10.1145/1297666.1297679

Reference25 articles.

1. Bownam A. W. and Azzalini A. 1997. Applied Smoothing Techniques for Data Analysis. Clarendon Press. Bownam A. W. and Azzalini A. 1997. Applied Smoothing Techniques for Data Analysis. Clarendon Press.

2. Burrus C. S. and Gopinath R. A. and Guo H. 1998. Introduction to Wavelets and Wavelet Transform: A Primer. Prentice Hall NJ. Burrus C. S. and Gopinath R. A. and Guo H. 1998. Introduction to Wavelets and Wavelet Transform: A Primer. Prentice Hall NJ.

3. Dynamic power management for non-stationary service requests

4. Dynamic power management for nonstationary service requests

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