Leo Liberti, James Ostrowski
Journal of Global Optimization
In this paper we extend a previously published approach to error recovery in enterprise storage controllers with multi-core processors. Our approach first involves the partitioning of the set of tasks in the runtime of the controller software into clusters (recovery scopes) of dependent tasks. Then, these recovery scopes are mapped into a set of recovery groups, on which the scheduling of tasks, both during the recovery process and normal operation, is based. This recovery-aware scheduling (RAS) replaces the performance-based scheduling of the storage controller. Through simulation and benchmark experiments, we find that: 1) the performance of RAS appears to be critically dependent on the values of recovery-related parameters; and 2) our fine-grained recovery approach promises to enhance the storage system availability while keeping the additional overhead, and the resulting degradation in performance, under control. © Copyright 2009 by International Business Machines Corporation.
Leo Liberti, James Ostrowski
Journal of Global Optimization
Rolf Clauberg
IBM J. Res. Dev
Frank R. Libsch, S.C. Lien
IBM J. Res. Dev
Donald Samuels, Ian Stobert
SPIE Photomask Technology + EUV Lithography 2007