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dc.contributor.authorSemenov S.-
dc.contributor.authorYenhalychev S.-
dc.contributor.authorLymarenko V.-
dc.contributor.authorGavrilenko S.-
dc.date.accessioned2025-12-29T14:00:24Z-
dc.date.available2025-12-29T14:00:24Z-
dc.date.issued2022-
dc.identifier.citationSemenov S. The Data Dissemination Planning Tasks Process Model Into Account the Entities Differentity / S. Semenov, S. Yenhalychev, V. Lymarenko and other // DESSERT’2022: The 12th IEEE International Conference on Dependable Systems, Services and Technologies, December 9-11, 2022. - Athens, Greece, 2022. - P. 317-322.uk_UA
dc.identifier.urihttps://repository.hneu.edu.ua/handle/123456789/38400-
dc.description.abstractthe main innovation of the article is the development of a scheme for processing entity requests based on their preliminary analysis and adaptation to the capabilities of processor, communication and memory resources of computing facilities. This should make it possible to reduce the time spent on performing applied data processing tasks. The document presents a model for the planning process for data dissemination tasks. A distinctive feature of the model is that it takes into account the heterogeneity of entities by including additional blocks for their analysis and adaptation to the existing capabilities of processor and other resources. A generalized model for scheduling tasks and entities with dependencies has also been developed. As a result, GERT networks of the process of scheduling distribution tasks for a separate n-th set of data type are obtained. The simulation result is presented in the form of an analytical expression for calculating the scheduling time for data dissemination tasks, taking into account the heterogeneity of entities.uk_UA
dc.language.isoenuk_UA
dc.subjectMathematical modeluk_UA
dc.subjecttask schedulinguk_UA
dc.subjectdata distributionuk_UA
dc.subjectGERT networksuk_UA
dc.subjectentitiesuk_UA
dc.titleThe Data Dissemination Planning Tasks Process Model Into Account the Entities Differentityuk_UA
dc.typeArticleuk_UA
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