NDLI: An Advanced Methodology for Measuring and Characterizing Software Aging

Content Provider	IEEE Xplore Digital Library
Author	Pengfei Zheng Qingguo Xu Yong Qi
Copyright Year	2012
Abstract	Software systems continuously running over a long time may suffer gradual performance degradation or failure rate increasing. This phenomenon, known as ¡®Software Aging', has become a great challenge to dependability-critical software systems. Researchers have made remarkable achievements in predicting resource exhaustion time and designing optimal rejuvenation plan. However, limited works focus on measuring aging and characterizing aging progress. And currently the only widely used tool is Sen's slope estimator. We pinpoint some drawbacks of this approach: (1) a not unified estimator which needs periodicity test and period length inference in advance (2) an oversimplified linear description of aging pro-gress (3) with no ability to distinguish between abrupt change and the """"aging-like"""" gradual degradation. We design an enumerative Hodrick-Prescott filter to overcome all these short-comings. And we also propose a new metric AS based on the nonlinear trend estimated by Hodrick-Prescott filter to dynamically measure severity of aging. Our approach and metric are validated on real aging time series collected from a VOD (video-on-demand) server. The results shows our approach improve the Sen's slope estimator a lot.
Starting Page	253
Ending Page	258
File Size	585938
Page Count	6
File Format	PDF
ISBN	9781467350488
DOI	10.1109/ISSREW.2012.81
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Degradation Measurement Hodrick-Prescott filter Sen's Slope Estimator Time series analysis Aging Market research Aging progress Software Servers Software measurement Software Aging
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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On suboptimality of the Hodrick–Prescott filter at time series endpoints (2005)

Image de-noising based on Hodrick-Prescott filtering

Estimation the smoothing parameter in the so-called hodrick-prescott filter (2004)

2008): “Consistent estimators of the smoothing parameter in the hodrick-prescott filter

Reducing the Excess Variability of the Hodrick-Prescott Filter by Flexible Penalization (2014)

The Hodrick-Prescott Filter at Time Series Endpoints

Constructing confidence bands for the Hodrick–Prescott filter

ESTIMATING THE SMOOTHING PARAMETER IN THE SO-CALLED HODRICK-PRESCOTT FILTER

“The Econometrics of the Hodrick-Prescott Filter”

An Advanced Methodology for Measuring and Characterizing Software Aging

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