On the Performance of Specialized Distributed Computing Systems Using Multiple Parallel Task Queues

Three variants of models of specialized distributed computing systems containing one, two and four parallel task queues are considered. Such systems are characterized by continuous non-stationary internal task flows. In these systems, the input tasks are parallelized into an a priori unknown number...

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Bibliographic Details
Published inSystems of Signals Generating and Processing in the Field of on Board Communications (Online) pp. 1 - 5
Main Authors Gostev, I. M., Bolovtsov, S. V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 12.03.2025
Subjects
Computational modeling
Distributed computing
distributed computing systems
execution efficiency
Planning
Productivity
simulation modeling
System performance
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Summary:Three variants of models of specialized distributed computing systems containing one, two and four parallel task queues are considered. Such systems are characterized by continuous non-stationary internal task flows. In these systems, the input tasks are parallelized into an a priori unknown number of data-independent subtasks. And when a certain subtask containing a solution is completed, all other branches of this task are deleted. The aim of the work was to study the behavior of such systems when they are organized with several parallel queues. The issues of changing the efficiency and performance of such systems with an increase in the number of queues are considered. Studies have shown that the use of several queues makes it possible to increase productivity without increasing computing resources.
ISSN:2768-0118
DOI:10.1109/IEEECONF64229.2025.10948058