By Topic

Performance modeling based on real data: a case study

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Hseuh, M.C. ; Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA ; Iyer, R.K. ; Trivedi, K.S.

A measurement-based performability model is described that is based on error and resource-usage data collected on a multiprocessor system. A method for identifying the model structure is introduced, and the resulting model is validated against real data. Model development from the collection of raw data to the estimation of the expected reward is described. Both normal behavior and error behavior of the system are characterized. The measured data show that the holding times in key operational and error states are not simple exponentials and that a semi-Markov process is necessary to model the system behavior. A reward function, which is based on the service rate and the error rate in each state, is defined in order to estimate the performability of the system and to depict the cost of different types of errors

Published in:

Computers, IEEE Transactions on  (Volume:37 ,  Issue: 4 )