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[En ligne]. Disponible sur: https:\/\/link.springer.com\/chapter\/10.1007\/978-1-4842-3141-8_4. [Consult\u00e9 le: 21-d\u00e9c-2019].","key":"e_1_3_2_1_4_1"},{"unstructured":"\u00ab Concurrency in Go and Java: Performance analysis - IEEE Conference Publication \u00bb. [En ligne]. Disponible sur: https:\/\/ieeexplore.ieee.org\/document\/6920368. [Consult\u00e9 le: 21-d\u00e9c-2019].  \u00ab Concurrency in Go and Java: Performance analysis - IEEE Conference Publication \u00bb. [En ligne]. Disponible sur: https:\/\/ieeexplore.ieee.org\/document\/6920368. [Consult\u00e9 le: 21-d\u00e9c-2019].","key":"e_1_3_2_1_5_1"},{"unstructured":"M. Z. Stoica Reynold S. Xin Patrick Wendell Tathagata Das Michael Armbrust Ankur Dave Xiangrui Meng Josh Rosen Shivaram Venkataraman Michael J. Franklin Ali Ghodsi Joseph Gonzalez Scott Shenker Ion \u00ab Apache Spark: A Unified Engine For Big Data Processing \u00bb. [En ligne]. 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