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Towards better manageability of database clusters on cloud computing platforms., , , and . SAC, page 366-367. ACM, (2014)E-eco: Performance-aware energy-efficient cloud data center orchestration., , , , and . J. Netw. Comput. Appl., (2017)IntP: Quantifying cross-application interference via system-level instrumentation., , , and . SBAC-PAD, page 231-240. IEEE, (2022)Mobile Application Testing on Clouds: Challenges, Opportunities and Architectural Elements., , , , and . PDP, page 181-185. IEEE Computer Society, (2017)Performance Evaluation of Container-Based Virtualization for High Performance Computing Environments., , , , , and . PDP, page 233-240. IEEE Computer Society, (2013)Modeling and Simulation of QoS-Aware Power Budgeting in Cloud Data Centers., , , , , , and . PDP, page 88-93. IEEE, (2020)A Preliminary Study of Machine Learning Workload Prediction Techniques for Cloud Applications., , , and . PDP, page 222-227. IEEE, (2019)Optimizing multi-tier application performance with interference and affinity-aware placement algorithms., , , , and . Concurr. Comput. Pract. Exp., (2019)Performance and Cost Analysis between Elasticity Strategies over Pipeline-structured Applications., , , , and . CLOSER, page 404-411. SciTePress, (2019)Modeling and simulation of global and sleep states in ACPI-compliant energy-efficient cloud environments., , , , and . Concurr. Comput. Pract. Exp., (2017)