@inproceedings{thereska2007observer,
author = {Thereska, Eno and Ailamaki, Anastassia and Ganger, Gregory R. and Narayanan, Dushyanth},
title = {Observer: keeping system models from becoming obsolete},
booktitle = {Proceedings of 2nd Workshop on Hot Topics in Autonomic Computing (HotAC II)},
year = {2007},
month = {June},
abstract = {To be effective for automation, in practice, system models used for performance prediction and behavior checking must be robust. They must be able to cope with component upgrades, misconfigurations, and workload-system interactions that were not anticipated. This paper promotes making models self-evolving, such that they continuously evaluate their accuracy and adjust their predictions accordingly. Such self-evaluation also enables confidence values to be provided with predictions, including identification of situations where no trustworthy prediction can be produced. With a combination of expectation-based and observation-based techniques, we believe that such self-evolving models can be achieved and used as a robust foundation for tuning, problem diagnosis, capacity planning, and administration tasks.},
publisher = {USENIX},
url = {http://approjects.co.za/?big=en-us/research/publication/observer-keeping-system-models-from-becoming-obsolete/},
edition = {Proceedings of 2nd Workshop on Hot Topics in Autonomic Computing (HotAC II)},
}