Accurate disk workloads are crucial for storage systems design, but I/O traces are difficult to obtain, unwieldy to work with, and unparameterizable. I/O traces are often bursty and difficult to characterize. Although good mod-els of I/O workloads would be extremely useful, such bursty traces cannot accurately be modeled using exponential or Poisson arrival times. Much experimental evidence sug-gests that I/O traces are self-similar, which researchers have hoped might help to model bursty traces. In this paper, we show that self-similarity at large time scales does not significantly affect disk behavior with respect to response times. This allows us to generate synthetic arrival patterns at relatively small time scales, improving the accura...
In this paper, we describe the collection and analysis of file system traces from a variety of diffe...
Input/output subsystem performance is currently receiving considerable research attention. Significa...
Understanding how host load changes over time is instrumental in predicting the execution time of ta...
Accurate disk workloads are crucial for storage systems design, but I/O traces are difficult to obta...
I/O traces are crucial for understanding the performance of new storage architectures. Unfortunately...
Processor speeds continue to increase while disk I/O speeds lag far behind. This mismatch causes an ...
Synthetic disk request traces are convenient and popular workloads for performance evaluation of sto...
Network, web, and disk I/O traffic are usually bursty, self-similar [9, 3, 5, 6] and therefore can n...
Network, web, and disk I/O traffic are usually bursty, self-similar and therefore can not be modeled...
In many environments, seek time is a major component of the disk access time. In this paper we intr...
Disk storage subsystems have not kept up the speed with processors. Processor performance has been i...
Storage system traces are rich in information as it contains real-world behavior. Replaying already ...
In this paper we investigate disk activity caused by accesses to large databases stored on modern st...
We propose a new approach for I/O scheduling that per-forms on-line simulation of the underlying dis...
Network, web, and disk I/O traffic are usually bursty, self-similar [9, 3, 5, 6] and therefore can n...
In this paper, we describe the collection and analysis of file system traces from a variety of diffe...
Input/output subsystem performance is currently receiving considerable research attention. Significa...
Understanding how host load changes over time is instrumental in predicting the execution time of ta...
Accurate disk workloads are crucial for storage systems design, but I/O traces are difficult to obta...
I/O traces are crucial for understanding the performance of new storage architectures. Unfortunately...
Processor speeds continue to increase while disk I/O speeds lag far behind. This mismatch causes an ...
Synthetic disk request traces are convenient and popular workloads for performance evaluation of sto...
Network, web, and disk I/O traffic are usually bursty, self-similar [9, 3, 5, 6] and therefore can n...
Network, web, and disk I/O traffic are usually bursty, self-similar and therefore can not be modeled...
In many environments, seek time is a major component of the disk access time. In this paper we intr...
Disk storage subsystems have not kept up the speed with processors. Processor performance has been i...
Storage system traces are rich in information as it contains real-world behavior. Replaying already ...
In this paper we investigate disk activity caused by accesses to large databases stored on modern st...
We propose a new approach for I/O scheduling that per-forms on-line simulation of the underlying dis...
Network, web, and disk I/O traffic are usually bursty, self-similar [9, 3, 5, 6] and therefore can n...
In this paper, we describe the collection and analysis of file system traces from a variety of diffe...
Input/output subsystem performance is currently receiving considerable research attention. Significa...
Understanding how host load changes over time is instrumental in predicting the execution time of ta...