Models for time coalescence in event logs

Author

Hansen, J.P. ; Siewiorek, D.P.

Author_Institution

Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA

fYear

1992

fDate

8-10 July 1992

Firstpage

221

Lastpage

227

Abstract

One heuristic for data reduction that is widely used in the literature is coalescence of events occurring close in time. The authors explore the validity of this heuristic by developing a model for the formation of the contents of an event log by multiple independent error processes. The probability of coalescing events from two or more error sources is formulated and compared with results from hand analysis of actual event logs taken from a Tandem TNS II system. Results indicate that the probability of coalescing events from more than one error source is a strong function of the time constant selected. The model can be used to select an appropriate time constant and also has implications in designing event logging systems.<>

Keywords

fault tolerant computing; Tandem TNS II system; data reduction; error sources; event logging systems; event logs; fault tolerant computing; heuristic; multiple independent error processes; time coalescence; Computer crashes; Computer errors; Detectors; Event detection; Failure analysis; Fault detection; Hardware; Operating systems; Sensor systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Fault-Tolerant Computing, 1992. FTCS-22. Digest of Papers., Twenty-Second International Symposium on

Conference_Location

Boston, MA, USA

Print_ISBN

0-8186-2875-8

Type

conf

DOI

10.1109/FTCS.1992.243597

Filename

243597