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Global fan speed control considering non-ideal temperature measurements in enterprise servers., , , , and . DATE, page 1-6. European Design and Automation Association, (2014)CoolBudget: Data center power budgeting with workload and cooling asymmetry awareness., , , and . ICCD, page 497-500. IEEE Computer Society, (2014)Low-Overhead Run-Time Memory Leak Detection and Recovery., , and . PRDC, page 329-340. IEEE Computer Society, (2006)SAR Handbook Chapter: Measurements-based aging analysis., , and . ISSRE Workshops, page 323-324. IEEE, (2020)Monte Carlo Simulation For Optimized Sensitivity of Online Proactive Fault Monitoring Schemes., and . CDES, page 247-252. CSREA Press, (2005)Correcting vibration-induced performance degradation in enterprise servers., , , , and . SIGMETRICS Perform. Evaluation Rev., 41 (3): 83-88 (2013)Leakage-Aware Cooling Management for Improving Server Energy Efficiency., , , , , , and . IEEE Trans. Parallel Distributed Syst., 26 (10): 2764-2777 (2015)Improved Energy Monitoring and Prognostics of Servers via High-Accuracy Real-Time Synchronization of Internal Telemetry Signals., and . CDES, page 200-. CSREA Press, (2010)Fan-speed-aware scheduling of data intensive jobs., , , , , and . ISLPED, page 409-414. ACM, (2012)Measurements for Software Aging., , and . Handbook of Software Aging and Rejuvenation, WorldScientific, (2020)