@inproceedings{9c637349bfd94f4eb48766b2251455af,
title = "Accurate synthetic file system workloads",
abstract = "File system benchmarking plays an essential part in assessing the file system's performance. It is especially difficult to measure and study the file system's performance as it deals with several layers of hardware and software. The flexibility of synthetic benchmarks allows system designers to produce a variety of different workloads that will provide insight on how the file system will perform under varying conditions. The downside of synthetic workloads is that they produce generic workloads that do not have the same characteristics as production workloads. For instance, synthetic benchmarks do not take into consideration the effects of the cache that can greatly impact the performance of the underlying file system. In addition, they do not model the variation in a given workload. This work enhanced synthetic workload generation methods by taking into consideration how the file system operations are satisfied by the lower level function calls. In addition, this work modeled the variations of the workload's footprint when present and recreated a synthetic workload that approximates the original workload with an operational latency difference of 10\% or less. ",
author = "Salam Farhat and Greg Simco",
year = "2017",
language = "English",
isbn = "9781943436088",
series = "30th International Conference on Computer Applications in Industry and Engineering, CAINE 2017",
publisher = "The International Society for Computers and Their Applications (ISCA)",
pages = "223--227",
editor = "Takaaki Goto and Gongzhu Hu",
booktitle = "30th International Conference on Computer Applications in Industry and Engineering, CAINE 2017",
note = "30th International Conference on Computer Applications in Industry and Engineering, CAINE 2017 ; Conference date: 02-10-2017 Through 04-10-2017",
}