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Performance analysis of AIMD mechanisms over a multi-state Markovian path., , , и . Comput. Networks, 47 (3): 307-326 (2005)Adaptive, Model-driven Autoscaling for Cloud Applications., , , , и . ICAC, стр. 57-64. USENIX Association, (2014)Scaling Laws of Sampled Data and Many-to-One Capacity of Sensor Networks on Closed Surfaces., , , и . ICWN, стр. 677-. CSREA Press, (2005)On the workload process in a fluid queue with bursty input and selective discarding, и . Teletraffic Engineering in the Internet EraProceedings of the International Teletraffic Congress - ITC-I7, том 4 из Teletraffic Science and Engineering, Elsevier, (2001)P2L: Predicting Transfer Learning for Images and Semantic Relations., , , , , , , , и . CoRR, (2019)RCD-SGD: Resource-Constrained Distributed SGD in Heterogeneous Environment via Submodular Partitioning., и . CoRR, (2022)G2L: A Geometric Approach for Generating Pseudo-labels that Improve Transfer Learning., , , и . CoRR, (2022)Run-time performance optimization of a BigData query language., , и . ICPE, стр. 239-246. ACM, (2014)RCD-SGD: Resource-Constrained Distributed SGD in Heterogeneous Environment Via Submodular Partitioning., и . ICCV (Workshops), стр. 1385-1393. IEEE, (2023)Streaming workload generator for testing Billing Mediation Platform in telecom industry., и . WSC, стр. 2842-2852. IEEE, (2010)