Tencent Photo Cache

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.
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Displaying all 2 Traces


Trace Name Details Related Tools Year Recorded Timespan Record Count File Size Actions
Tencent Photo Cache, Dataset 1
This dataset contains part of the 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.
2016 8 days 2.93 Billion 71 GB
Tencent Photo Cache, Dataset 2
This dataset contains part of the 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.
2016 8 days 2.75 Billion 66.6 GB

Displaying all 2 Traces

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