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Improving server utilization via resource-adaptive batch VMs: poster.

, , , , , and . Middleware Posters and Demos, page 11-12. ACM, (2017)

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EASY: Efficient Segment Assignment Strategy for Reducing Tail Latencies in Pinot., , , , and . ICDCS, page 1432-1437. IEEE Computer Society, (2018)Analytical Approaches for Dynamic Scheduling in Cloud Environments.. SIGMETRICS Perform. Evaluation Rev., 47 (3): 14-16 (2019)Application-Agnostic Batch Workload Management in Cloud Environments., , , , , and . SoCC, page 504. ACM, (2018)Monitoring AI Services for Misuse., , , and . AIES, page 597-607. ACM, (2021)DIAL: Reducing Tail Latencies for Cloud Applications via Dynamic Interference-aware Load Balancing., and . ICAC, page 135-144. IEEE Computer Society, (2017)Prediction-Based Power Oversubscription in Cloud Platforms., , , , , , , , , and 1 other author(s). USENIX Annual Technical Conference, page 473-487. USENIX Association, (2021)Prediction-Based Power Oversubscription in Cloud Platforms., , , , , , , , , and 1 other author(s). CoRR, (2020)Improving server utilization via resource-adaptive batch VMs: poster., , , , , and . Middleware Posters and Demos, page 11-12. ACM, (2017)Scavenger: A Black-Box Batch Workload Resource Manager for Improving Utilization in Cloud Environments., , , and . SoCC, page 272-285. ACM, (2019)Monitoring Misuse for Accountable 'Artificial Intelligence as a Service'., , , , and . AIES, page 300-306. ACM, (2020)