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Shadow: Exploiting the Power of Choice for Efficient Shuffling in MapReduce.

, , , and . ICPADS, page 553-560. IEEE Computer Society, (2017)

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Scale prediction based MDNet for infrared target tracking., , , , and . J. Intell. Fuzzy Syst., 39 (3): 2711-2723 (2020)Shadow: Exploiting the Power of Choice for Efficient Shuffling in MapReduce., , , and . IEEE Trans. Big Data, 8 (1): 253-267 (2022)Learning to Track Aircraft in Infrared Imagery., , , and . Remote. Sens., 12 (23): 3995 (2020)Argus: Efficient Job Scheduling in RDMA-assisted Big Data Processing., , , and . IPDPS, page 827-836. IEEE, (2021)An Aircraft Tracking Method in Simulated Infrared Image Sequences Based on Regional Distribution., , , and . PSIVT Workshops, volume 10799 of Lecture Notes in Computer Science, page 343-355. Springer, (2017)Anti-Interference Aircraft-Tracking Method in Infrared Imagery., , , and . Sensors, 19 (6): 1289 (2019)Joint feature embedding learning and correlation filters for aircraft tracking with infrared imagery., , , and . Neurocomputing, (2021)RGraph: Asynchronous graph processing based on asymmetry of remote direct memory access., , , , , and . Softw. Pract. Exp., 52 (2): 374-393 (2022)Multi-objective software test case selection based on density analysis., , and . CSSE, page 140-147. ACM, (2022)Forest Cover Classification from Multi-temporal MODIS Images in Southeast Asia Using Decision Tree., , , and . CCTA (2), volume 369 of IFIP Advances in Information and Communication Technology, page 400-414. Springer, (2011)