Parallel Traces
Parallel traces, generally taken from supercomputers or in large datacenters, record activity from multiple computers running in parallel.
Similar traces can also be found in the Key-Value Traces section.
The following traces are free to download under the terms of the
SNIA Trace Data Files Download License.
Please note that cookies must be enabled within your browser in order to
download traces.
For questions about downloading using a shell script,
see Using Shell Scripts,
and for more information about downloading using a Windows
batch script, see
Using Batch Scripts.
| Trace Name | Details | Details | Related Tools | Year Recorded | Timespan | Record Count | File Size | Actions |
|---|---|---|---|---|---|---|---|---|
| Tencent Photo Cache | Traces used for the paper Demystifying Cache Policies for Photo Stores at Scale: A Tencent Case Study by Ke Zhou(1), Si Sun(1), Hua Wang(1), Ping Huang(1,2), Xubin He(2), Rui Lan(3), Wenyan Li(3), Wenjie Liu(2), and Tianming Yang(4). 1: Wuhan National Laboratory for Optoelectronics. 2: Temple University. 3: Tencent, Inc. 4: Huanghuai University. In ICS-2018: The 32nd ACM International Conference on Supercomputing, Beijing China, June 2018. | Traces from Demystifying Cache Policies for Photo Stores at Scale: A Tencent Case Study by Ke Zhou et al. | 2016 | 8 days | 5.68 Billion | 138 GB |
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