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Improving parallel data transfer times using predicted variances in shared networks.

, , and . CCGRID, page 734-742. IEEE Computer Society, (2005)

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Beware of Fragmentation: Scheduling GPU-Sharing Workloads with Fragmentation Gradient Descent., , , , , , and . USENIX Annual Technical Conference, page 995-1008. USENIX Association, (2023)Conservative Scheduling: Using Predicted Variance to Improve Scheduling Decisions in Dynamic Environments., , and . SC, page 31. ACM, (2003)Classification of Internet video traffic using multi-fractals., , , and . ISCIT, page 1-6. IEEE, (2017)The study of new features for video traffic classification., , , and . Multimedia Tools Appl., 78 (12): 15839-15859 (2019)Topological properties of generalized approximation spaces., and . Inf. Sci., 181 (17): 3570-3580 (2011)Fine-Grained Video Traffic Classification Based on QoE Values., , , and . Wireless Personal Communications, 103 (2): 1481-1498 (2018)Voltage Unbalance Factor Detection Based on RV Self-Convolution Window and Improved Partition Method., , , , , , , and . ICITEE, page 434-437. ACM, (2022)Design and Evaluation of a Resource Selection Framework for Grid Applications., , , and . HPDC, page 63-72. IEEE Computer Society, (2002)Internet video traffic classification using QoS features., , , , and . ICNC, page 1-5. IEEE Computer Society, (2016)Roughness in quantales., and . Inf. Sci., (2013)