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Title: Performance Health Monitoring of Large-Scale Systems

This report details the progress made on the ASCR funded project Performance Health Monitoring for Large Scale Systems. A large-­scale application may not achieve its full performance potential due to degraded performance of even a single subsystem. Detecting performance faults, isolating them, and taking remedial action is critical for the scale of systems on the horizon. PHM aims to develop techniques and tools that can be used to identify and mitigate such performance problems. We accomplish this through two main aspects. The PHM framework encompasses diagnostics, system monitoring, fault isolation, and performance evaluation capabilities that indicates when a performance fault has been detected, either due to an anomaly present in the system itself or due to contention for shared resources between concurrently executing jobs. Software components called the PHM Control system then build upon the capabilities provided by the PHM framework to mitigate degradation caused by performance problems.
Authors:
 [1]
  1. IBM Research, Austin, TX (United States)
Publication Date:
OSTI Identifier:
1164888
DOE Contract Number:
SC0007103
Resource Type:
Technical Report
Research Org:
IBM Research, Austin, TX (United States)
Sponsoring Org:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
Contributing Orgs:
PNW National Lab
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING performance; large-scale systems; health; monitoring; diagnostics; mitigation