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On Understanding the Energy Impact of Speculative Execution in Hadoop.

, , , and . DSDIS, page 396-403. IEEE, (2015)

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RM-BDP: Resource management for Big Data platforms., , and . Future Gener. Comput. Syst., (2018)Diarchy: An Optimized Management Approach for MapReduce Masters., , and . ICCS, volume 51 of Procedia Computer Science, page 9-18. Elsevier, (2015)A performance evaluation of Azure and Nimbus clouds for scientific applications., , , and . CloudCP@EuroSys, page 4:1-4:6. ACM, (2012)Pufferbench: Evaluating and Optimizing Malleability of Distributed Storage., , and . PDSW-DISCS@SC, page 35-44. IEEE, (2018)E2Clab: Exploring the Computing Continuum through Repeatable, Replicable and Reproducible Edge-to-Cloud Experiments., , , , and . CLUSTER, page 176-186. IEEE, (2020)Towards Efficient Location and Placement of Dynamic Replicas for Geo-Distributed Data Stores., , , , and . ScienceCloud@HPDC, page 3-9. ACM, (2016)Consistency in the Cloud: When Money Does Matter!, , , and . CCGRID, page 352-359. IEEE Computer Society, (2013)Pufferscale: Rescaling HPC Data Services for High Energy Physics Applications., , , , , and . CCGRID, page 182-191. IEEE, (2020)Architecture of Distributed Data Aggregation Service., , , and . AINA, page 727-734. IEEE Computer Society, (2014)Cluster computing with Java., , , and . Comput. Sci. Eng., 7 (2): 34-39 (2005)