Synthetic disk request traces are convenient and popular workloads for performance evaluation of storage subsystem designs and implementations. This paper develops an approach for validating synthetic disk request generators. Using this approach, commonly-used simplifying assumptions about workload characteristics (e.g., uniformly-distributed starting addresses and Poisson arrivals) are shown to be inappropriate, often leading to inaccurate performance predictions. Also, workload characteristics that require additional study are identified. 1 Introduction Perhaps the largest difficulty facing storage architects and performance analysts is identifying and obtaining workloads with which to evaluate and compare designs. Many groups and organi...
Cloud storage systems are currently very popular with many companies offering services, including wo...
File system benchmarking plays an essential part in assessing the file system’s performance. It is e...
A huge increase in data storage and processing requirements has lead to Big Data, for which next gen...
Storage systems designers are still searching for better methods of obtaining representative I/O wor...
Disk storage subsystems have not kept up the speed with processors. Processor performance has been i...
Storage systems designers are still searching for better methods of obtaining representative I/O wor...
The performance of a computing system depends on the workload it is executing. When evaluating a com...
File system studies are critical to the accurate configuration, design, and continued evolution of s...
In this paper we investigate disk activity caused by accesses to large databases stored on modern st...
The analysis of storage system workloads is important for a number of reasons. It is necessary to un...
Accurate disk workloads are crucial for storage systems design, but I/O traces are difficult to obta...
be difficult because of the complexity of the systems and the interdependence of the components. Thi...
In distributed high-performance computing storage systems, contention is a problem that usually occu...
Accurate analysis of HPC storage system designs is contin-gent on the use of I/O workloads that are ...
As part of our on-going research into improving the quality of synthetic, block-level I/O workloads,...
Cloud storage systems are currently very popular with many companies offering services, including wo...
File system benchmarking plays an essential part in assessing the file system’s performance. It is e...
A huge increase in data storage and processing requirements has lead to Big Data, for which next gen...
Storage systems designers are still searching for better methods of obtaining representative I/O wor...
Disk storage subsystems have not kept up the speed with processors. Processor performance has been i...
Storage systems designers are still searching for better methods of obtaining representative I/O wor...
The performance of a computing system depends on the workload it is executing. When evaluating a com...
File system studies are critical to the accurate configuration, design, and continued evolution of s...
In this paper we investigate disk activity caused by accesses to large databases stored on modern st...
The analysis of storage system workloads is important for a number of reasons. It is necessary to un...
Accurate disk workloads are crucial for storage systems design, but I/O traces are difficult to obta...
be difficult because of the complexity of the systems and the interdependence of the components. Thi...
In distributed high-performance computing storage systems, contention is a problem that usually occu...
Accurate analysis of HPC storage system designs is contin-gent on the use of I/O workloads that are ...
As part of our on-going research into improving the quality of synthetic, block-level I/O workloads,...
Cloud storage systems are currently very popular with many companies offering services, including wo...
File system benchmarking plays an essential part in assessing the file system’s performance. It is e...
A huge increase in data storage and processing requirements has lead to Big Data, for which next gen...