EZIOTracer Unifying Kernel and User Space I/O Tracing for Data-Intensive Applications
EZIOTracer Unifying Kernel and User Space I/O Tracing for Data-Intensive Applications
复制标题
EZIOTracer 统一数据密集型应用程序的内核和用户空间 I/O 跟踪
DOI:
10.1145/3469379.3469391
复制
发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Islam Naas M
中科院分区:
文献类型:
--
作者:
Islam Naas M
Tracing is a popular method for evaluating, investigating, and modeling the performance of today's storage systems. Tracing has become crucial with the increase in complexity of modern storage applications/systems, that are manipulating an ever-increasing amount of data and are subject to extreme performance requirements. There exists many tracing tools focusing either on the user-level or the kernel-level, however we observe the lack of a unified tracer targeting both levels: this prevents a comprehensive understanding of modern applications' storage performance profiles. In this paper, we present EZIOTracer, a unified I/O tracer for both (Linux) kernel and user spaces, targeting data intensive applications. EZIOTracer is composed of a userland as well as a kernel space tracer, complemented with a trace analysis framework able to merge the output of the two tracers, and in particular to relate user-level events to kernel-level ones, and vice-versa. On the kernel side, EZIOTracer relies on eBPF to offer safe, low-overhead, low memory footprint, and flexible tracing capabilities. We demonstrate using FIO benchmark the ability of EZIOTracer to track down I/O performance issues by relating events recorded at both the kernel and user levels. We show that this can be achieved with a relatively low overhead that ranges from 2% to 26% depending on the I/O intensity.