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Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature reviewJournal of Parallel and Distributed Computing, 2022, 166, pp.71-94. ⟨10.1016/j.jpdc.2022.04.004⟩
Journal articles
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KheOps: Cost-effective Repeatability, Reproducibility, and Replicability of Edge-to-Cloud ExperimentsREP 2023 - ACM Conference on Reproducibility and Replicability, Jun 2023, Santa Cruz, CA, United States. pp.62-73, ⟨10.1145/3589806.3600032⟩
Conference papers
hal-04157720v1
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Earthquake Early Warning Dataset2019
Preprints, Working Papers, ...
hal-03104149v1
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ProvLight: Efficient Workflow Provenance Capture on the Edge-to-Cloud ContinuumIEEE Cluster 2023 - IEEE International Conference on Cluster Computing, Oct 2023, Santa Fe, New Mexico, United States. pp.1-13
Conference papers
hal-04161546v1
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A Performance Evaluation of Apache Kafka in Support of Big Data Streaming ApplicationsIEEE Big Data 2017, Dec 2017, Boston, United States. 2017
Conference poster
hal-01647229v1
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OverFlow: Multi-Site Aware Big Data Management for Scientific Workflows on CloudsIEEE Transactions on Cloud Computing, 2016, ⟨10.1109/TCC.2015.2440254⟩
Journal articles
hal-01239128v1
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Tyr: Blob Storage Meets Built-In TransactionsIEEE ACM SC16 - The International Conference for High Performance Computing, Networking, Storage and Analysis 2016, Nov 2016, Salt Lake City, United States. ⟨10.1109/sc.2016.48⟩
Conference papers
hal-01347652v1
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Virtual Log-Structured Storage for High-Performance StreamingCluster 2021 - IEEE International Conference on Cluster Computing, Sep 2021, Portland / Virtual, United States. pp.1-11
Conference papers
hal-03300796v2
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Spark versus Flink: Understanding Performance in Big Data Analytics FrameworksCluster 2016 - The IEEE 2016 International Conference on Cluster Computing, Sep 2016, Taipei, Taiwan. ⟨10.1109/cluster.2016.22⟩
Conference papers
hal-01347638v2
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A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early WarningIn Proceedings of the 34th AAAI Conference on Artificial Intelligence, Feb 2020, New York, United States. pp.403-411, ⟨10.1609/aaai.v34i01.5376⟩
Conference papers
hal-02373429v2
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E2Clab: Exploring the Computing Continuum through Repeatable, Replicable and Reproducible Edge-to-Cloud ExperimentsCluster 2020 - IEEE International Conference on Cluster Computing, Sep 2020, Kobe, Japan. pp.1-11, ⟨10.1109/CLUSTER49012.2020.00028⟩
Conference papers
hal-02916032v1
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Investigating Edge vs. Cloud Computing Trade-offs for Stream ProcessingBigData 2019 - IEEE International Conference on Big Data, Dec 2019, Los Angeles, United States. ⟨10.1109/bigdata47090.2019.9006139⟩
Conference papers
hal-02415684v1
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Could Blobs Fuel Storage-Based Convergence Between HPC and Big Data?CLUSTER 2017 - IEEE International Conference on Cluster Computing, Sep 2017, Honolulu, United States. pp.81 - 86, ⟨10.1109/CLUSTER.2017.63⟩
Conference papers
hal-01617655v1
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TýrFS: Increasing Small Files Access Performance with Dynamic Metadata ReplicationCCGRID 2018 - 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May 2018, Washington, United States. pp.452-461, ⟨10.1109/CCGRID.2018.00072⟩
Conference papers
hal-01892691v1
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Methodologies for Reproducible Analysis of Workflows on the Edge-to-Cloud ContinuumDistributed, Parallel, and Cluster Computing [cs.DC]. INSA RENNES, 2023. English. ⟨NNT : ⟩
Theses
tel-04167278v1
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Reproducible Performance Optimization of Complex Applications on the Edge-to-Cloud ContinuumCluster 2021 - IEEE International Conference on Cluster Computing, Sep 2021, Portland, OR, United States. pp.23-34, ⟨10.1109/Cluster48925.2021.00043⟩
Conference papers
hal-03310540v1
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