Paper Info
Title
Buttress: A Toolkit for Flexible and High Fidelity I/O Benchmarking
Abstract
In benchmarking I/O systems, it is important to generate, accurately, the I/O access pattern that one is intending to generate. However, timing accuracy ( issuing I/Os at the desired time) at high I/O rates is difficult to achieve on stock operating systems. We currently lack tools to easily and accurately generate complex I/O workloads on modern storage systems. As a result, we may be introducing substantial errors in observed system metrics when we benchmark I/O systems using inaccurate tools for replaying traces or for producing synthetic workloads with known inter-arrival times.In this paper, we demonstrate the need for timing accuracy for I/O benchmarking in the context of replaying I/O traces. We also quantitatively characterize the impact of error in issuing I/Os on measured system parameters. For instance, we show that the error in perceived I/O response times can be as much as +350% or -15% by using naive benchmarking tools that have timing inaccuracies. To address this problem, we present Buttress, a portable and flexible toolkit that can generate I/O workloads with microsecond accuracy at the I/O throughputs of high-end enterprise storage arrays. In particular, Buttress can issue I/O requests within 100μs of the desired issue time even at rates of 10000 I/Os per second (IOPS).
Year
Venue
Keywords
2004
FAST
o trace,o rate,o system,o access pattern,o benchmarking,timing accuracy,high fidelity,o workloads,o throughput,o request,o response time,measurement system,operating system,storage system
Field
DocType
Citations 
High fidelity,Buttress,Enterprise storage,IOPS,Computer science,Real-time computing,Input/output,Benchmarking
Conference
29
PageRank 
References 
Authors
1.90
6
4
Name
Order
Citations
PageRank
Eric Anderson134827.02
Mahesh Kallahalla253934.54
Mustafa Uysal3109980.02
Ram Swaminathan491365.42