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Adaptive Task Scheduling in Computational GRID Environments.

, , , and . EGC, volume 3470 of Lecture Notes in Computer Science, page 880-890. Springer, (2005)

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Services Integration and Task-scheduling in Bioinformatics Grids., , , , , and . PARCO, volume 33 of John von Neumann Institute for Computing Series, page 735-742. Central Institute for Applied Mathematics, Jülich, Germany, (2005)Reasoning About Distributed Knowledge of Groups with Infinitely Many Agents., , , , , and . CONCUR, volume 140 of LIPIcs, page 29:1-29:15. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)On-line Distance Learning Platform., , and . WEBIST (3), page 500-505. INSTICC Press, (2007)Adaptive Task Scheduling in Computational GRID Environments., , , and . EGC, volume 3470 of Lecture Notes in Computer Science, page 880-890. Springer, (2005)Reasoning about distributed information with infinitely many agents., , , , , and . J. Log. Algebraic Methods Program., (2021)Real-Time Rewriting Logic Semantics for Spatial Concurrent Constraint Programming., , , and . WRLA@ETAPS, volume 11152 of Lecture Notes in Computer Science, page 226-244. Springer, (2018)Counting and Computing Join-Endomorphisms in Lattices., , , and . RAMiCS, volume 12062 of Lecture Notes in Computer Science, page 253-269. Springer, (2020)Computing Distributed Knowledge as the Greatest Lower Bound of Knowledge., , , and . RAMiCS, volume 13027 of Lecture Notes in Computer Science, page 413-432. Springer, (2021)Characterizing Hyperspectral Data Layouts: Performance and Energy Efficiency in Embedded GPUs for PCA-based Dimensionality Reduction., , , , , , and . DCIS, page 1-6. IEEE, (2019)An Information Theoretic Feature Selection Framework for Big Data under Apache Spark., , , , , , and . CoRR, (2016)