Performance analysis of instrumentation system management policies

Conference · Fri Dec 01 00:00:00 EST 1995

OSTI ID:125637

Waheed, A; Melfi, V F; Rover, D T

Run-time trace data helps to debug and analyze the parallel programs. Obtaining and managing this data during run-time is the responsibility of an instrumentation system that incurs overhead. In its worst case, this overhead can result in severe perturbation of the behavior of the actual program. This paper presents a queuing model for an instrumentation system. The purpose is to provide a rigorous mathematical tool that could allow the analysis of the overhead of program behavior due to the instrumentation system management policies. We summarize the effects of two management policies: FOF and FAOF policies.

• OSTI ID: 125637
• Report Number(s): CONF-950212-; TRN: 95:005768-0182
• Resource Relation: Conference: 7. Society for Industrial and Applied Mathematics (SIAM) conference on parallel processing for scientific computing, San Francisco, CA (United States), 15-17 Feb 1995; Other Information: PBD: 1995; Related Information: Is Part Of Proceedings of the seventh SIAM conference on parallel processing for scientific computing; Bailey, D.H.; Bjorstad, P.E.; Gilbert, J.R. [eds.] [and others]; PB: 894 p.
• Country of Publication: United States
• Language: English

Related Subjects

99 MATHEMATICS
COMPUTERS
INFORMATION SCIENCE
MANAGEMENT
LAW
MISCELLANEOUS
PARALLEL PROCESSING
ALGORITHMS
EFFICIENCY
PERFORMANCE TESTING
PROGRAMMING LANGUAGES
PERFORMANCE