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Application profiling in hierarchical Hadoop for geo-distributed computing environments.

, , , and . ISCC, page 555-560. IEEE Computer Society, (2016)

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A Hadoop based Framework to Process Geo-distributed Big Data., , , , and . CLOSER (1), page 178-185. SciTePress, (2016)Application profiling in hierarchical Hadoop for geo-distributed computing environments., , , and . ISCC, page 555-560. IEEE Computer Society, (2016)A Scheduling Strategy to Run Hadoop Jobs on Geodistributed Data., , , , and . ESOCC Workshops, volume 567 of Communications in Computer and Information Science, page 5-19. Springer, (2015)Xplorer: A system for visual analysis of sensor-based motor activity predictions., and . DSIA, page 1-4. IEEE Computer Society, (2017)Fragmenting Big Data to Boost the Performance of MapReduce in Geographical Computing Contexts., , , and . Innovate-Data, page 17-24. IEEE, (2017)Solving Critical Events through Mobile Edge Computing: An Approach for Smart Cities., , , , , and . SMARTCOMP, page 1-5. IEEE Computer Society, (2016)A Context-Aware Solution to Improve Web Service Discovery and User-Service Interaction., , , , and . UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, page 180-187. IEEE Computer Society, (2016)Dataspace: A Reconfigurable Hybrid Reality Environment for Collaborative Information Analysis., , , , and . VR, page 145-153. IEEE, (2019)CAVE-AR: A VR Authoring System to Interactively Design, Simulate, and Debug Multi-user AR Experiences., and . VR, page 872-873. IEEE, (2019)H2F: a hierarchical hadoop framework for big data processing in geo-distributed environments., , , and . BDCAT, page 27-35. ACM, (2016)