| | |
Summary: Predicting web server crashes:
A case study in comparing prediction algorithms
Javier Alonso and Jordi Torres
Computer Architecture Department
Technical University of Catalonia
Barcelona Supercomputing Center
alonso@ac.upc.edu, torres@ac.upc.edu
Ricard Gavald`a
Deptartment of Software
Technical University of Catalonia
gavalda@lsi.upc.edu
Abstract--Traditionally, performance has been the most im-
portant metrics when evaluating a system. However, in the last
decades industry and academia have been paying increasing
attention to another metric to evaluate servers: availability. A
web server may serve many users when running, but if it is
out of service too much time, it becomes useless and expensive.
The industry has adopted several techniques to improve system
availability, yet crashes still happen. In this paper, we propose
a new framework to predict time-to-failure when the system is
|
