Some Aspects of the Workflow Scheduling in the Computing Continuum Systems

Vladislav Kashansky, Radu Prodan, Gleb Radchenko

    Research output: Conference proceeding/Chapter in Book/Report/Conference Paperpeer-review


    Contemporary computing systems are commonly characterized in terms of data-intensive workflows, that are managed by utilizing large number of heterogeneous computing and storage elements interconnected through complex communication topologies. As the scale of the system grows and workloads become more heterogeneous in both inner structure and the arrival patterns, scheduling problem becomes exponentially harder, requiring problem-specific heuristics. Despite several decades of the active research on it, one issue that still requires effort is to enable efficient workflows scheduling in such complex environments, while preserving robustness of the results. Moreover, recent research trend coined under term "computing continuum" prescribes convergence of the multiscale computational systems with complex spatio-temporal dynamics and diverse sets of the management policies. This paper contributes with the set of recommendations and brief analysis for the existing scheduling algorithms
    Original languageEnglish
    Title of host publicationCEUR Workshop Proceedings
    Subtitle of host publicationConference "Distributed Computing and Grid Technologies in Science and Education", GRID 2021
    Pages106 - 110
    Publication statusPublished - 5 Sep 2021


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