NDLI: Filtering System Metrics for Minimal Correlation-Based Self-Monitoring

Content Provider	IEEE Xplore Digital Library
Author	Munawar, M.A. Miao Jiang Reidemeister, T. Ward, P.A.S.
Copyright Year	2009
Abstract	Self-adaptive and self-organizing systems must be self-monitoring. Recent research has shown that self-monitoring can be enabled by using correlations between monitoring variables (metrics). However, computer systems often make a very large number of metrics available for collection. Collecting them all not only reduces system performance, but also creates other overheads related to communication, storage, and processing. In order to control the overhead, it is necessary to limit collection to a subset of the available metrics. Manual selection of metrics requires a good understanding of system internals, which can be difficult given the size and complexity of modern computer systems. In this paper, assuming no knowledge of metric semantics or importance and no advance availability of fault data, we investigate automated methods for selecting a subset of available metrics in the context of correlation-based monitoring. Our goal is to collect fewer metrics while maintaining the ability to detect errors. We propose several metric selection methods that require no information beside correlations. We compare these methods on the basis of fault coverage. We show that our minimum spanning tree-based selection performs best, detecting on average 66% of faults detectable by full monitoring (i.e., using all considered metrics) with only 30% of the metrics.
Starting Page	233
Ending Page	242
File Size	314917
Page Count	10
File Format	PDF
ISBN	9781424448906
DOI	10.1109/SASO.2009.36
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	adaptive monitoring subset selection Filtering Computerized monitoring Humans Communication system control metric correlations Predictive models error detection System performance Fault detection Pressing Computer errors Software systems self-monitoring
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

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