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Sturgeon: Preference-aware Co-location for Improving Utilization of Power Constrained Computers.

, , , , , , and . IPDPS, page 718-727. IEEE, (2020)

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Adaptive CPU Resource Allocation for Emulator in Kernel-based Virtual Machine., , , , and . CoRR, (2023)Online Thread Auto-Tuning for Performance Improvement and Resource Saving., , , , , and . IEEE Trans. Parallel Distributed Syst., 33 (12): 3746-3759 (2022)CSC: Collaborative System Configuration for I/O-Intensive Applications in Multi-Tenant Clouds., , , , , and . IPDPS, page 1327-1337. IEEE, (2022)Async-fork: Mitigating Query Latency Spikes Incurred by the Fork-based Snapshot Mechanism from the OS Level., , , , , , , , , and 5 other author(s). Proc. VLDB Endow., 16 (5): 1033-1045 (2023)PAC: Preference-Aware Co-location Scheduling on Heterogeneous NUMA Architectures To Improve Resource Utilization., , , , , , , , , and . ICS, page 75-86. ACM, (2023)On diagnosable and tunable 3D clock network design for lifetime reliability enhancement., , , , , and . ITC, page 1-10. IEEE, (2015)Sturgeon: Preference-aware Co-location for Improving Utilization of Power Constrained Computers., , , , , , and . IPDPS, page 718-727. IEEE, (2020)Adaptive Preference-Aware Co-Location for Improving Resource Utilization of Power Constrained Datacenters., , , and . IEEE Trans. Parallel Distributed Syst., 32 (2): 441-456 (2021)In-growth test for monolithic 3D integrated SRAM., , , , , , and . DATE, page 569-572. IEEE, (2018)PMR: Priority Memory Reclaim to Improve the Performance of Latency-Critical Services., , , , , , , and . ICPADS, page 2452-2459. IEEE, (2023)