Paper Info
Title
A query language for understanding component interactions in production systems
Abstract
When something unexpected happens in a large production system, administrators must first perform a search to isolate which components and component interactions are likely to be involved. The system may consist of thousands of interacting subsystems, the logging instrumentation may be noisy or incomplete, and the problem description may be vague, so this search is often the most difficult part of understanding the system's behavior. To facilitate the search process, we present a query language and a method for computing these queries that makes minimal assumptions about the available data. We evaluate our method on nearly 1.22 billion lines of system logs from four supercomputers, two autonomous vehicles, and a server cluster.
Year
DOI
Venue
2010
10.1145/1810085.1810114
I4CS
Keywords
DocType
Citations 
query language,available data,interacting subsystems,autonomous vehicle,difficult part,billion line,search process,minimal assumption,large production system,system log,component interaction,production systems,correlation,production system
Conference
3
PageRank 
References 
Authors
0.41
26
2
Name
Order
Citations
PageRank
Adam J. Oliner171551.10
Alex Aiken25009461.41