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From performance profiling to predictive analytics while evaluating hadoop cost-efficiency in ALOJA.

, , , , , , , , and . IEEE BigData, page 1220-1229. IEEE Computer Society, (2015)

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ALOJA-ML: A Framework for Automating Characterization and Knowledge Discovery in Hadoop Deployments., , , , , and . KDD, page 1701-1710. ACM, (2015)Challenges and Opportunities for RISC-V Architectures Towards Genomics-Based Workloads., , , , , , , and . ISC Workshops, volume 13999 of Lecture Notes in Computer Science, page 458-471. Springer, (2023)VITAMIN-V: Virtual Environment and Tool-Boxing for Trustworthy Development of RISC-V Based Cloud Services., , , , , , , , , and 14 other author(s). DSD, page 302-308. IEEE, (2023)Vitamin-V: Expanding Open-Source RISC-V Cloud Environments., , , , , , , , , and 5 other author(s). CoRR, (2024)Disaggregating Non-Volatile Memory for Throughput-Oriented Genomics Workloads., , , , and . Euro-Par Workshops, volume 11339 of Lecture Notes in Computer Science, page 613-625. Springer, (2018)Enabling an OpenStack-based cloud on top of RISC-V hardware., , , and . CoRR, (2024)ALOJA: A Framework for Benchmarking and Predictive Analytics in Big Data Deployments., , , , , and . CoRR, (2015)From performance profiling to predictive analytics while evaluating hadoop cost-efficiency in ALOJA., , , , , , , , and . IEEE BigData, page 1220-1229. IEEE Computer Society, (2015)ALOJA: A systematic study of Hadoop deployment variables to enable automated characterization of cost-effectiveness., , , , , , , , , and 3 other author(s). IEEE BigData, page 905-913. IEEE Computer Society, (2014)Leveraging disaggregated accelerators and non-volatile memories to improve the efficiency of modern datacenters. Polytechnic University of Catalonia, Spain, (2023)