Class paper present

1. SherLog: Error Diagnosis by Connecting Clues from
Run-time Logs
Dacong (Tony) Yan
April 07, 2010

2. Introduction
Scenario - production run failure
failure reproduction: reproduce the failed execution trying to figure
out what was going on with the program
CSE 888, Dacong (Tony) Yan SherLog: Error Diagnosis by Connecting Clues from Run-time Logs 2/13

3. Introduction
Scenario - production run failure
failure reproduction: reproduce the failed execution trying to figure
out what was going on with the program
Challenges
customers’ privacy concerns
difficulty in setting up exact same execution environment
lack of low-overhead logging mechanism for failure reproduction on
multi-processors (why?)
CSE 888, Dacong (Tony) Yan SherLog: Error Diagnosis by Connecting Clues from Run-time Logs 2/13

4. Introduction
Scenario - production run failure
failure reproduction: reproduce the failed execution trying to figure
out what was going on with the program
Challenges
customers’ privacy concerns
difficulty in setting up exact same execution environment
lack of low-overhead logging mechanism for failure reproduction on
multi-processors (why?)
Common Practice in Industry
customers send logs to vendors in case of failure
vendors analyze logs to find clues to the problem
CSE 888, Dacong (Tony) Yan SherLog: Error Diagnosis by Connecting Clues from Run-time Logs 2/13

5. Introduction
Scenario - production run failure
failure reproduction: reproduce the failed execution trying to figure
out what was going on with the program
Challenges
customers’ privacy concerns
difficulty in setting up exact same execution environment
lack of low-overhead logging mechanism for failure reproduction on
multi-processors (why?)
Common Practice in Industry
customers send logs to vendors in case of failure
vendors analyze logs to find clues to the problem
Research Question
how to locate root cause of failure by analyzing logs?
even without reproduce the failure execution
CSE 888, Dacong (Tony) Yan SherLog: Error Diagnosis by Connecting Clues from Run-time Logs 2/13

6. Approach
Idea
Ideal Goal: find out what exactly happened in the failure execution,
i.e. the exact failure-inducing execution paths
CSE 888, Dacong (Tony) Yan SherLog: Error Diagnosis by Connecting Clues from Run-time Logs 3/13

7. Approach
Idea
Ideal Goal: find out what exactly happened in the failure execution,
i.e. the exact failure-inducing execution paths
Realistic Goal: identify the Must-Have, May-Have, and
Must-Not-Have paths, and the states of variables on the possible
paths
CSE 888, Dacong (Tony) Yan SherLog: Error Diagnosis by Connecting Clues from Run-time Logs 3/13

8. Approach
Idea
Ideal Goal: find out what exactly happened in the failure execution,
i.e. the exact failure-inducing execution paths
Realistic Goal: identify the Must-Have, May-Have, and
Must-Not-Have paths, and the states of variables on the possible
paths
Usage Scenario
runs the tool to get an interesting path
queries or examines values of certain interesting variables along the
path
repeats the previous step until the root cause is found
CSE 888, Dacong (Tony) Yan SherLog: Error Diagnosis by Connecting Clues from Run-time Logs 3/13

10. Design
Three main components:
Log Parsing: locates the source code lines printing the messages
Path Inference: infers the Must-Paths, May-Paths, and
Pruned-Paths
Value Inference: infers the variable values on the paths
CSE 888, Dacong (Tony) Yan SherLog: Error Diagnosis by Connecting Clues from Run-time Logs 5/13

11. Design
Three main components:
Log Parsing: locates the source code lines printing the messages
Path Inference: infers the Must-Paths, May-Paths, and
Pruned-Paths
Value Inference: infers the variable values on the paths
CSE 888, Dacong (Tony) Yan SherLog: Error Diagnosis by Connecting Clues from Run-time Logs 5/13

12. Evaluation

13. Evaluation
Methodology
manually reproduce and diagnose the failure
collect path summaries at runtime
compare the result of SherLog with the reproduction
Terminology
useful: SherLog infers a subset of the summarized information
complete: SherLog infers all the information necessary for debugging
CSE 888, Dacong (Tony) Yan SherLog: Error Diagnosis by Connecting Clues from Run-time Logs 7/13

14. Experimental Results

15. Overall Results
CSE 888, Dacong (Tony) Yan SherLog: Error Diagnosis by Connecting Clues from Run-time Logs 9/13

16. Case Studies
Three case studies to demonstrate the effectiveness of SherLog:
Case 1: ln of coreutils 4.5.1
Case 2: Squid web proxy cache server
Case 3: CVS Configuration Error
CSE 888, Dacong (Tony) Yan SherLog: Error Diagnosis by Connecting Clues from Run-time Logs 10/13

17. Squid Case Study
CSE 888, Dacong (Tony) Yan SherLog: Error Diagnosis by Connecting Clues from Run-time Logs 11/13

18. Performance
CSE 888, Dacong (Tony) Yan SherLog: Error Diagnosis by Connecting Clues from Run-time Logs 12/13

19. Discussion
What can we do with the results of SherLog? Can we make these
successive steps automated as well?
How much helpful the result of SherLog is for debugging? Or more
generally, how do we evaluate automated debugging tools?
How much useful SherLog is when it is not complete?
CSE 888, Dacong (Tony) Yan SherLog: Error Diagnosis by Connecting Clues from Run-time Logs 13/13