C. Ruemmler and J. Wilkes, An introduction to disk drive modeling, Computer, vol.27, issue.3, pp.17-18, 1994.
DOI : 10.1109/2.268881
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.117.39

B. Worthington, G. Ganger, and Y. Patt, Scheduling algorithms for modern disk drives, Proc. of the ACM SIGMETRICS Conference, pp.241-251, 1994.

J. L. Griffin, J. Schindler, S. W. Schlosser, J. S. Bucy, and G. R. Ganger, Timingaccurate storage emulation, FAST 2002 on File and Storage Technologies, pp.75-88, 2002.

R. Barve, R. Shriver, P. B. Gibbons, B. K. Hillyer, B. K. Matias et al., Modeling and optimizing i/o throughput of multiple disks on a bus, ACM SIGMETRICS Conference on Measurement and modeling of computer systems, pp.83-92, 1999.

M. Uysal, M. Alvarez, and A. Merchant, A modular, analytical throughput model for modern disk arrays Analysis and Simulation of Computer and Telecommunication Systems Conference, 9th International Symposium on Modeling, pp.183-92, 2001.

J. Wilkes, The Pantheon storage-system simulator, 1996.

U. Aicheler, A visual user interface for the pantheon storage system simulator, 1996.

J. Wilkes, R. Golding, C. Staelin, and T. Sullivan, The HP AutoRAID hierarchical storage system, ACM Transactions on Computer Systems, vol.14, issue.1, pp.108-136, 1996.
DOI : 10.1145/225535.225539

P. Cao, S. B. Lim, S. Venkataraman, and J. Wilkes, The TickerTAIP parallel RAID architecture, ACM Transactions on Computer Systems, vol.12, issue.3, pp.236-69, 1994.
DOI : 10.1145/185514.185517

J. Schindler and G. R. Ganger, Automated disk drive characterization, 1999.
DOI : 10.1145/345063.339397

E. Andenson, Simple table-based modeling of storage devices, 2001.

T. Kelly, I. Cohen, M. Goldszmidt, and K. Keeton, Inducing models of black-box storage arrays, 2004.

M. P. Mesnier, M. Wachs, R. R. Sambasivan, A. X. Zheng, and G. R. Ganger, Modeling the relative fitness of storage, Joint International Conference on Measurement and Modeling of Computer Systems, 2007.

M. Wang, K. Au, A. Ailamaki, A. Brockwell, C. Faloutsos et al., Storage device performance prediction with cart models, 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS, USA, 2004.
DOI : 10.1145/1012888.1005743
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.2254

L. Breiman, J. Friedman, C. J. Stone, and . R. Olshen, Classification and regression trees, 1984.

R. Kohavi and C. Kunz, Option decision trees with majority votes, 14th International Conference on Machine Learning, 1997.

E. Bauer and R. Kohavi, An empirical comparison of voting classification algorithms: Bagging, boosting, and variants, Machine Learning, pp.105-139, 1999.

L. Breiman, Bagging predictors, Machine Learning, vol.10, issue.2, pp.123-140, 1996.
DOI : 10.1007/BF00058655

Y. Freund and R. E. Schapire, Experiments with a new boosting algorithm, 13th International Conference on Machine Learning, 1996.

Z. H. Zhou and W. Tang, Ensembling neural networks: Many could be better than all, Artificial Intelligence, vol.137, issue.1-2, pp.239-263, 2003.
DOI : 10.1016/S0004-3702(02)00190-X
URL : http://doi.org/10.1016/s0004-3702(02)00190-x

B. Bakker and T. Heskes, Model Clustering for Neural Network Ensembles, Neural Networks, vol.16, issue.2, pp.261-269, 2003.
DOI : 10.1007/3-540-46084-5_62

G. Mart-nez2mu-noz and A. Su-rez, Pruning in ordered bagging ensembles, 23th International Conference on Machine Learning, pp.1266-73, 2006.

S. Umass-trace-repository-jiang and X. Zhang, LIRS: an effcient low inter-reference recency set replacement to improve buffer cache performance, ACM SIGMETRICS Conference on Measurement and modeling of computer systems, pp.31-42, 2002.