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Optimizing the management of a database in a virtual environment.

, , , and . ISCC, page 594-599. IEEE Computer Society, (2013)

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Towards better manageability of database clusters on cloud computing platforms., , , and . SAC, page 366-367. ACM, (2014)IntP: Quantifying cross-application interference via system-level instrumentation., , , and . SBAC-PAD, page 231-240. IEEE, (2022)Performance Evaluation of Container-Based Virtualization for High Performance Computing Environments., , , , , and . PDP, page 233-240. IEEE Computer Society, (2013)Mobile Application Testing on Clouds: Challenges, Opportunities and Architectural Elements., , , , and . PDP, page 181-185. IEEE Computer Society, (2017)Performance and Cost Analysis between Elasticity Strategies over Pipeline-structured Applications., , , , and . CLOSER, page 404-411. SciTePress, (2019)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)Understanding performance interference in multi-tenant cloud databases and web applications., , , and . IEEE BigData, page 2847-2852. IEEE Computer Society, (2016)Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs., , , , , , , and . Euro-Par Workshops, volume 11997 of Lecture Notes in Computer Science, page 519-530. Springer, (2019)Optimizing the management of a database in a virtual environment., , , and . ISCC, page 594-599. IEEE Computer Society, (2013)