Tencent Photo Cache
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| Trace Name | Details | 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. | One dataset of traces from Demystifying Cache Policies for Photo Stores at Scale: A Tencent Case Study by Ke Zhou et al. | 2016 | 8 days | 2.93 Billion | 71 GB |
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| 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. | One dataset of traces from Demystifying Cache Policies for Photo Stores at Scale: A Tencent Case Study by Ke Zhou et al. | 2016 | 8 days | 2.75 Billion | 66.6 GB |
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