PDL Abstract

Relative Fitness Modeling

Communications of the ACM, Vol. 52 No. 4, April 2009.

Michael P. Mesnier*, Matthew Wachs, Raja R. Sambasivan, Alice X. Zheng, and Gregory R. Ganger

Parallel Data Laboratory
Carnegie Mellon University
Pittsburgh, PA 15213



Relative fitness is a new approach to modeling the performance of storage devices (e.g., disks and RAID arrays). In contrast to a conventional model, which predicts the performance of an application’s I/O on a given device, a relative fitness model predicts performance differences between devices. The result is significantly more accurate predictions.