Tencent Photo Cache, Dataset 2
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| Trace Name | Details | Details | Related Tools | Year Recorded | Timespan | Record Count | File Size | Actions |
|---|---|---|---|---|---|---|---|---|
| Tencent Photo Cache Part 075 | This file 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. | Part of the traces from Demystifying Cache Policies for Photo Stores at Scale: A Tencent Case Study by Ke Zhou et al. | 2016 | about 3 hours | 39.9 Million | 987 MB |
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| Tencent Photo Cache Part 076 | This file 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. | Part of the traces from Demystifying Cache Policies for Photo Stores at Scale: A Tencent Case Study by Ke Zhou et al. | 2016 | about 2 hours | 39.8 Million | 983 MB |
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| Tencent Photo Cache Part 077 | This file 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. | Part of the traces from Demystifying Cache Policies for Photo Stores at Scale: A Tencent Case Study by Ke Zhou et al. | 2016 | about 3 hours | 39.7 Million | 984 MB |
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| Tencent Photo Cache Part 078 | This file 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. | Part of the traces from Demystifying Cache Policies for Photo Stores at Scale: A Tencent Case Study by Ke Zhou et al. | 2016 | about 3 hours | 39.7 Million | 987 MB |
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| Tencent Photo Cache Part 079 | This file 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. | Part of the traces from Demystifying Cache Policies for Photo Stores at Scale: A Tencent Case Study by Ke Zhou et al. | 2016 | about 9 hours | 39.8 Million | 996 MB |
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| Tencent Photo Cache Part 080 | This file 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. | Part of the traces from Demystifying Cache Policies for Photo Stores at Scale: A Tencent Case Study by Ke Zhou et al. | 2016 | about 7 hours | 39.9 Million | 987 MB |
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| Tencent Photo Cache Part 081 | This file 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. | Part of the traces from Demystifying Cache Policies for Photo Stores at Scale: A Tencent Case Study by Ke Zhou et al. | 2016 | about 3 hours | 39.9 Million | 985 MB |
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| Tencent Photo Cache Part 082 | This file 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. | Part of the traces from Demystifying Cache Policies for Photo Stores at Scale: A Tencent Case Study by Ke Zhou et al. | 2016 | about 3 hours | 40 Million | 988 MB |
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| Tencent Photo Cache Part 083 | This file 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. | Part of the traces from Demystifying Cache Policies for Photo Stores at Scale: A Tencent Case Study by Ke Zhou et al. | 2016 | about 3 hours | 39.9 Million | 985 MB |
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| Tencent Photo Cache Part 084 | This file 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. | Part of the traces from Demystifying Cache Policies for Photo Stores at Scale: A Tencent Case Study by Ke Zhou et al. | 2016 | about 3 hours | 39.8 Million | 981 MB |
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