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Phase-Aware Cache Partitioning to Target Both Turnaround Time and System Performance., , , , и . IEEE Trans. Parallel Distributed Syst., 31 (11): 2556-2568 (2020)Understanding Cloud Workloads Performance in a Production like Environment., , , , , , , и . CoRR, (2020)Dynamic Allocation of Processor Cores to Graph Applications on Commodity Servers., , и . PACT, стр. 323-324. IEEE, (2023)Stratus: A Hardware/Software Infrastructure for Controlled Cloud Research., , , , , и . PDP, стр. 299-306. IEEE, (2023)Hy-Sched: A Simple Hyperthreading-Aware Thread to Core Allocation Strategy., , и . IEEE Comput. Archit. Lett., 20 (1): 26-29 (2021)Effect of Hyper-Threading in Latency-Critical Multithreaded Cloud Applications and Utilization Analysis of the Major System Resources., , , , , , , и . Future Gener. Comput. Syst., (2022)Cache-Poll: Containing Pollution in Non-Inclusive Caches Through Cache Partitioning., , , и . ICPP, стр. 33:1-33:11. ACM, (2022)Cloud White: Detecting and Estimating QoS Degradation of Latency-Critical Workloads in the Public Cloud., , , , , , и . Future Gener. Comput. Syst., (2023)Improving System Turnaround Time with Intel CAT by Identifying LLC Critical Applications., , , , и . Euro-Par, том 11014 из Lecture Notes in Computer Science, стр. 603-615. Springer, (2018)A modular approach to build a hardware testbed for cloud resource management research., , , , и . J. Supercomput., 80 (8): 10552-10583 (мая 2024)