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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)ALOJA-ML: A Framework for Automating Characterization and Knowledge Discovery in Hadoop Deployments., , , , , and . KDD, page 1701-1710. ACM, (2015)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)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)Workload-Aware Placement Strategies to Leverage Disaggregated Resources in the Datacenter., , and . IEEE Syst. J., 16 (1): 1697-1708 (2022)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)ALOJA: A Framework for Benchmarking and Predictive Analytics in Hadoop Deployments., , , , , and . IEEE Trans. Emerg. Top. Comput., 5 (4): 480-493 (2017)Vitamin-V: Virtual Environment and Tool-boxing for Trustworthy Development of RISC-V based Cloud Services., , , , , , , , , and 13 other author(s). CoRR, (2023)Disaggregating Non-Volatile Memory for Throughput-Oriented Genomics Workloads., , , , and . CoRR, (2020)