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Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field.

, , , , and . IEEE Trans. Parallel Distrib. Syst., 30 (4): 800-813 (2019)

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How will Your Workload Look Like in 6 Years? Analyzing Wikimedia's Workload., , , , , , , and . IC2E, page 349-354. IEEE Computer Society, (2014)A Distributed Data Collection Algorithm for Wireless Sensor Networks with Persistent Storage Nodes, , and . CoRR, (2010)SpotWeb: Running Latency-sensitive Distributed Web Services on Transient Cloud Servers., , , , and . HPDC, page 1-12. ACM, (2019)An Experimental Performance Evaluation of Autoscaling Policies for Complex Workflows., , , , , , and . ICPE, page 75-86. ACM, (2017)A Survey on Modeling Energy Consumption of Cloud Applications: Deconstruction, State of the Art, and Trade-off Debates., , , , , , and . CoRR, (2017)ALPACA: Application Performance Aware Server Power Capping., , , , and . ICAC, page 41-50. IEEE Computer Society, (2018)Performance Evaluation of Multi-Path TCP for Data Center and Cloud Workloads., , , , and . ICPE, page 13-24. ACM, (2019)The CACTOS Vision of Context-Aware Cloud Topology Optimization and Simulation., , , , , , , , , and 11 other author(s). CloudCom, page 26-31. IEEE Computer Society, (2014)An Experimental Performance Evaluation of Autoscalers for Complex Workflows., , , , , , and . TOMPECS, 3 (2): 8:1-8:32 (2018)A Distributed Data Collection Algorithm for Wireless Sensor Networks with Persistent Storage Nodes., , and . NTMS, page 1-5. IEEE, (2011)