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MarDRe: efficient MapReduce-based removal of duplicate DNA reads in the cloud.

, , , and . Bioinform., 33 (17): 2762-2764 (2017)

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Enabling Hardware Affinity in JVM-Based Applications: A Case Study for Big Data., , and . ICCS (1), volume 12137 of Lecture Notes in Computer Science, page 31-44. Springer, (2020)Flame-MR: An event-driven architecture for MapReduce applications., , , and . Future Gener. Comput. Syst., (2016)The HPS3 Service: Reduction of Cost and Transfer Time for Storing Data on Clouds., , , and . HPCC/CSS/ICESS, page 213-220. IEEE, (2014)MarDRe: efficient MapReduce-based removal of duplicate DNA reads in the cloud., , , and . Bioinform., 33 (17): 2762-2764 (2017)Enhancing in-memory efficiency for MapReduce-based data processing., , , and . J. Parallel Distributed Comput., (2018)Analysis and evaluation of MapReduce solutions on an HPC cluster., , , and . Comput. Electr. Eng., (2016)BDEv 3.0: Energy efficiency and microarchitectural characterization of Big Data processing frameworks., , , and . Future Gener. Comput. Syst., (2018)Performance Evaluation of Big Data Analysis., , and . Encyclopedia of Big Data Technologies, Springer, (2019)Performance evaluation of big data frameworks for large-scale data analytics., , , , and . IEEE BigData, page 424-431. IEEE Computer Society, (2016)Optimization of Real-World MapReduce Applications With Flame-MR: Practical Use Cases., , , and . IEEE Access, (2018)