Performance and reliability modeling of computer systems continues to be an area of active research. Analytic and simulation modeling of computer systems and subsystems provides a cost effective means of system design, system expansion, and system tuning. Recent breakthroughs in computational power, coupled with the continuing development of the performance and reliability modeling field, now provide us with an opportunity to begin to answer design questions previously considered far out of reach. Traditional computer systems contained only single-unit disk subsystems. Many current computer systems have multiple-unit disks that are treated as a single logical unit. These multiple disk systems provide many additional opportunities for perfor...
We describe and evaluate a strategy for declustering the parity encoding in a redundant disk array. ...
Abstract Increasmg performance of CPUs and memorres wrll be squandered lf not matched by a sunrlm pe...
With the rapid growth of the production and storage of large scale data sets it is important to inve...
Cylinder remapping is advocated as a technique for reducing mean seek distance in both single and mi...
Recently, parallel disk systems have emerged as a potential solution for achieving ultra-high capaci...
For the design and analysis of algorithms that process huge data sets, a machine model is needed tha...
In today\u27s computer systems, the disk I/O subsystem is often identified as a major bottleneck to ...
For the design and analysis of algorithms that process huge data sets, a machine model is needed tha...
Abstract—The Popular Disk Concentration (PDC) technique and the Massive Array of Idle Disks (MAID) t...
This work introduces a mathematical hard disk timing model and validates it by implementing it in an...
Abstract. Recently we presented several disk array architectures designed to increase the data rate ...
Today's computer systems entrust the bulk of their data to disk drives. This data must be reliably s...
In this work we present a new data layout and associated scheduling policies to improve RAID reliabi...
Recently we presented several disk array architectures designed to increase the data rate and I/O ra...
Disk mirroring is a highly effective technique for improving the fault tolerance and performance of ...
We describe and evaluate a strategy for declustering the parity encoding in a redundant disk array. ...
Abstract Increasmg performance of CPUs and memorres wrll be squandered lf not matched by a sunrlm pe...
With the rapid growth of the production and storage of large scale data sets it is important to inve...
Cylinder remapping is advocated as a technique for reducing mean seek distance in both single and mi...
Recently, parallel disk systems have emerged as a potential solution for achieving ultra-high capaci...
For the design and analysis of algorithms that process huge data sets, a machine model is needed tha...
In today\u27s computer systems, the disk I/O subsystem is often identified as a major bottleneck to ...
For the design and analysis of algorithms that process huge data sets, a machine model is needed tha...
Abstract—The Popular Disk Concentration (PDC) technique and the Massive Array of Idle Disks (MAID) t...
This work introduces a mathematical hard disk timing model and validates it by implementing it in an...
Abstract. Recently we presented several disk array architectures designed to increase the data rate ...
Today's computer systems entrust the bulk of their data to disk drives. This data must be reliably s...
In this work we present a new data layout and associated scheduling policies to improve RAID reliabi...
Recently we presented several disk array architectures designed to increase the data rate and I/O ra...
Disk mirroring is a highly effective technique for improving the fault tolerance and performance of ...
We describe and evaluate a strategy for declustering the parity encoding in a redundant disk array. ...
Abstract Increasmg performance of CPUs and memorres wrll be squandered lf not matched by a sunrlm pe...
With the rapid growth of the production and storage of large scale data sets it is important to inve...