MULTIAGENT METHODS OF MANAGEMENT OF DISTRIBUTED COMPUTING IN HYBRID CLUSTERS

Main Article Content

Vadim Kolumbet
Olha Svynchuk

Abstract

Modern information technologies include the use of server systems, virtualization technologies, communication tools for distributed computing and development of software and hardware solutions of data processing and storage centers, the most effective of such complexes for managing heterogeneous computing resources are hybrid GRID- distributed computing infrastructure combines resources of different types with collective access to these resources for and sharing shared resources. The article considers a multi-agent system that provides integration of the computational management approach for a cluster Grid system of computational type, the nodes of which have a complex hybrid structure. The hybrid cluster includes computing modules that support different parallel programming technologies and differ in their computational characteristics. The novelty and practical significance of the methods and tools presented in the article are a significant increase in the functionality of the Grid cluster computing management system for the distribution and division of Grid resources at different levels of tasks, the ability to embed intelligent computing management tools in problem-oriented applications. The use of multi-agent systems for task planning in Grid systems will solve two main problems - scalability and adaptability. The methods and techniques used today do not sufficiently provide solutions to these complex problems. Thus, the scientific task of improving the effectiveness of methods and tools for managing problem-oriented distributed computing in a cluster Grid system, integrated with traditional meta-planners and local resource managers of Grid nodes, corresponding to trends in the concept of scalability and adaptability.

Article Details

How to Cite
Kolumbet, V., & Svynchuk, O. (2022). MULTIAGENT METHODS OF MANAGEMENT OF DISTRIBUTED COMPUTING IN HYBRID CLUSTERS. Advanced Information Systems, 6(1), 32–36. https://doi.org/10.20998/2522-9052.2022.1.05
Section
Adaptive control methods
Author Biographies

Vadim Kolumbet, National Technical University of Ukraine “Igor Sikorsky KPI”, Kyiv, Ukraine

Phd student of the Department of Automation of projection of power processes and systems

Olha Svynchuk, National Technical University of Ukraine “Igor Sikorsky KPI”, Kyiv, Ukraine

Candidate of Physic-Mathematical Sciences, Associated Professor, Senior Lecturer of the Department of Automation of projection of power processes and systems

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