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Title: Managing Performance Analysis with Dynamic Statistical Projection Pursuit

Abstract

Computer systems and applications are growing more complex. Consequently, performance analysis has become more difficult due to the complex, transient interrelationships among runtime components. To diagnose these types of performance issues, developers must use detailed instrumentation to capture a large number of performance metrics. Unfortunately, this instrumentation may actually influence the performance analysis, leading the developer to an ambiguous conclusion. In this paper, we introduce a technique for focusing a performance analysis on interesting performance metrics. This technique, called dynamic statistical projection pursuit, identifies interesting performance metrics that the monitoring system should capture across some number of processors. By reducing the number of performance metrics, projection pursuit can limit the impact of instrumentation on the performance of the target system and can reduce the volume of performance data.

Authors:
;
Publication Date:
Research Org.:
Lawrence Livermore National Lab., CA (US)
Sponsoring Org.:
USDOE Office of Defense Programs (DP) (US)
OSTI Identifier:
791439
Report Number(s):
UCRL-JC-136327
TRN: US200302%%725
DOE Contract Number:  
W-7405-Eng-48
Resource Type:
Conference
Resource Relation:
Conference: High Performance Network and Computing Conference, Portland, OR (US), 11/13/1999; Other Information: PBD: 22 May 2000
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; COMPUTERS; FOCUSING; METRICS; MONITORING; PERFORMANCE; TARGETS; TRANSIENTS

Citation Formats

Vetter, J S, and Reed, D A. Managing Performance Analysis with Dynamic Statistical Projection Pursuit. United States: N. p., 2000. Web. doi:10.1145/331532.331576.
Vetter, J S, & Reed, D A. Managing Performance Analysis with Dynamic Statistical Projection Pursuit. United States. doi:10.1145/331532.331576.
Vetter, J S, and Reed, D A. Mon . "Managing Performance Analysis with Dynamic Statistical Projection Pursuit". United States. doi:10.1145/331532.331576. https://www.osti.gov/servlets/purl/791439.
@article{osti_791439,
title = {Managing Performance Analysis with Dynamic Statistical Projection Pursuit},
author = {Vetter, J S and Reed, D A},
abstractNote = {Computer systems and applications are growing more complex. Consequently, performance analysis has become more difficult due to the complex, transient interrelationships among runtime components. To diagnose these types of performance issues, developers must use detailed instrumentation to capture a large number of performance metrics. Unfortunately, this instrumentation may actually influence the performance analysis, leading the developer to an ambiguous conclusion. In this paper, we introduce a technique for focusing a performance analysis on interesting performance metrics. This technique, called dynamic statistical projection pursuit, identifies interesting performance metrics that the monitoring system should capture across some number of processors. By reducing the number of performance metrics, projection pursuit can limit the impact of instrumentation on the performance of the target system and can reduce the volume of performance data.},
doi = {10.1145/331532.331576},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2000},
month = {5}
}

Conference:
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