Tencent Photo Cache, Dataset 1
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| Trace Name | Details | Details | Related Tools | Year Recorded | Timespan | Record Count | File Size | Actions |
|---|---|---|---|---|---|---|---|---|
| Tencent Photo Cache Part 051 | 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 | 39.6 Million | 981 MB |
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| Tencent Photo Cache Part 052 | 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 | 39.5 Million | 970 MB |
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| Tencent Photo Cache Part 053 | 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 | 39.6 Million | 970 MB |
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| Tencent Photo Cache Part 054 | 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 | 39.6 Million | 976 MB |
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| Tencent Photo Cache Part 055 | 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 | 39.7 Million | 982 MB |
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| Tencent Photo Cache Part 056 | 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 6 hours | 39.7 Million | 989 MB |
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| Tencent Photo Cache Part 057 | 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 8 hours | 39.6 Million | 978 MB |
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| Tencent Photo Cache Part 058 | 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 4 hours | 39.7 Million | 980 MB |
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| Tencent Photo Cache Part 059 | 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 | 986 MB |
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| Tencent Photo Cache Part 060 | 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 | 39.6 Million | 987 MB |
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