Relative fitness models for storage
ACM SIGMETRICS Performance Evaluation Review - Design, implementation, and performance of storage systems
Modeling the relative fitness of storage
Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Communications of the ACM - A Direct Path to Dependable Software
| Hi-index | 0.00 |
Many storage systems have become so complex that that the system administratorýs salary represents almost half of the total cost of ownership. One approach to reducing this cost is to develop storage systems that can configure and manage themselves. Unfortunately, our ability to develop such software has been hindered by a limited understanding of how workloads and storage systems interact. In [10], we presented the design of the Distiller 驴 our tool that automates the process of finding a workloadýs key performance-affecting attributes. In this paper, we distill three production workloads and show that the values of the chosen attributes contain information that will help self-configuring disk array to choose a reasonable prefetch length and RAID stripe unit size. We also discuss how the chosen attributes may help direct the development of algorithms that compute near-optimal prefetch lengths and stripe unit sizes.