NDLI: Dynamic Meta-Learning for Failure Prediction in Large-Scale Systems: A Case Study

Content Provider	IEEE Xplore Digital Library
Author	Jiexing Gu Ziming Zheng Zhiling Lan White, J. Hocks, E. Byung-Hoon Park
Copyright Year	2008
Description	Author affiliation: Illinois Inst. of Technol., Chicago, IL (Jiexing Gu; Ziming Zheng; Zhiling Lan)
Abstract	Despite great efforts on the design of ultra-reliable components, the increase of system size and complexity has outpaced the improvement of component reliability. As a result, fault management becomes crucial in high performance computing. The advance of fault management relies on effective failure prediction. Despite years of research on failure prediction, it remains an open problem, especially in large-scale systems. In this paper, we address the problem by presenting a dynamic meta-learning prediction engine. It extends our previous work by exploring dynamic training, testing and prediction. Here, the "dynamic" part is from two perspectives: one is to continuously increase the training set during the system operation; and the other is to dynamically modify the rules of failure patterns by tracing prediction accuracy at runtime. Our case study indicates that the proposed predictor is promising by being capable of capturing more than 70% of failures, with the false alarm rate less than 10%.
Starting Page	157
Ending Page	164
File Size	320708
Page Count	8
File Format	PDF
ISBN	9780769533742
ISSN	01903918
DOI	10.1109/ICPP.2008.17
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Testing Accuracy Engines Analytical models Runtime Large-scale systems meta-learning failure prediction Blue Gene/L
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in