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Chronos: Failure-aware scheduling in shared Hadoop clusters.

, , , and . BigData, page 313-318. IEEE Computer Society, (2015)

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The Hyperion system: Compiling multithreaded Java bytecode for distributed execution., , , , , and . Parallel Comput., 27 (10): 1279-1297 (2001)How fast can one resize a distributed file system?, , and . J. Parallel Distributed Comput., (2020)Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review., , , and . CoRR, (2022)RM-BDP: Resource management for Big Data platforms., , and . Future Gener. Comput. Syst., (2018)GMonE: A complete approach to cloud monitoring., , , , and . Future Gener. Comput. Syst., 29 (8): 2026-2040 (2013)A performance evaluation of Azure and Nimbus clouds for scientific applications., , , and . CloudCP@EuroSys, page 4:1-4:6. ACM, (2012)Diarchy: An Optimized Management Approach for MapReduce Masters., , and . ICCS, volume 51 of Procedia Computer Science, page 9-18. Elsevier, (2015)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)Fault Tolerance in MapReduce: A Survey., , , and . Resource Management for Big Data Platforms, Springer, (2016)