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
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
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
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
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
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
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
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
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
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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