Abstract
In this paper, we describe the GUIDE framework used to collect, federate, and analyze log data from the Oak Ridge Leadership Computing Facility (OLCF), and how we use that data to derive insights into facility operations. We collect system logs and extract monitoring data at every level of the various OLCF subsystems, and have developed a suite of pre-processing tools to make the raw data consumable. The cleansed logs are then ingested and federated into a central, scalable data warehouse, Splunk, that offers storage, indexing, querying, and visualization capabilities. We have further developed and deployed a set of tools to analyze these multiple disparate log streams in concert and derive operational insights. We describe our experience from developing and deploying the GUIDE infrastructure, and deriving valuable insights on the various subsystems, based on two years of operations in the production OLCF environment.
Original language | English |
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Title of host publication | SC 2017 - International Conference for High Performance Computing, Networking, Storage and Analysis |
Publisher | IEEE Computer Society |
ISBN (Electronic) | 9781450351140 |
DOIs | |
State | Published - 2017 |
Event | 2017 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2017 - Denver, United States Duration: Nov 12 2017 → Nov 17 2017 |
Publication series
Name | International Conference for High Performance Computing, Networking, Storage and Analysis, SC |
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Volume | 2017-November |
ISSN (Print) | 2167-4329 |
ISSN (Electronic) | 2167-4337 |
Conference
Conference | 2017 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2017 |
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Country/Territory | United States |
City | Denver |
Period | 11/12/17 → 11/17/17 |
Funding
This work was supported by, and used the resources of, the Oak Ridge Leadership Computing Facility, located in the National Center for Computational Sciences at ORNL, which is managed by UT Battelle, LLC for the U.S. DOE, under the contract No. DE-AC05-00OR22725.