Multiagent control of computational systems on the basis of meta-monitoring and imitational simulation

Bychkov, I. V.; Oparin, Gennady A.; Feoktistov, Alexander; Sidorov, Ivan; Bogdanov, V. G.; Gorsky, Sergey

doi:10.3103/s8756699016020011

Cited by 19 publications

(10 citation statements)

References 8 publications

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“…Интерпретатор осуществляет выполнение схем или подсхем решения задач. Дополнительно менеджер вычислений может передать задание на обработку мультиагентной системе (МАС) [32]. Она реализована на основе Java Agent Development Framework (JADE) [33].…”

Section: Orlando Tools: основа для интегрированного программного окруженияunclassified

Mitigating Uncertainty in Developing Scientific Applications in Integrated Environment

Черных¹,

Bychkov²,

Феоктистов³

et al. 2021

Proceedings of ISP RAS

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The paper represents new means of the Orlando Tools framework. This framework is used as the basis of an integrated software environment for developing distributed applied software packages. The additional means are focused on mitigating various types of uncertainties arising from the job distribution in an integrated computing environment. They provide continuous integration, delivery, and deployment of applied and system software of packages. This helps to significantly reduce the negative impact of uncertainty on problem-solving time, computing reliability, and resource efficiency. An experimental analysis of the results of solving practical problems clearly demonstrates the advantages of applying these means.

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Section: Orlando Tools: основа для интегрированного программного окруженияunclassified

Mitigating Uncertainty in Developing Scientific Applications in Integrated Environment

Черных¹,

Bychkov²,

Феоктистов³

et al. 2021

Proceedings of ISP RAS

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“…Further the task of formation practical work of the urban route network modeling is set. The scenario of work includes all range of statistical methods, methods of multidimensional analysis [17], simulation [18], gravitational and entropy methods of correspondence matrix construction [19,20] and other methods and models.…”

Section: Scenario Of Practical Work On Urban Route Network Modelingmentioning

confidence: 99%

Scenarios of Training Courses on Digital Modeling on the Example of Modeling a Route Network

Baldin

Eroshok

2020

ITM Web Conf.

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The article deals with the creation of training courses scenarios. The main objective of the development of software components of the training system is the ability to create an algorithmic structure of training fragments representing test tasks, workshops and just information support. On the basis of this instrumental environment a practical work on the topic of statistical analysis, modeling and forecasting of passenger flows in the urban route network has been developed. The study of passenger flows is considered as one of the important stages of designing and organizing the route network of the urban passenger transport. The purpose of this article is to develop a training scenario aimed at identifying hidden patterns of passenger flows at stopping points of bus routes with the subsequent development stage of associated models of random flows with specified autocorrelation properties .In addition to the auto-correlation estimation and spectral analysis, the main components analysis which allows to reduce significantly the dimensionability of the multidimensional time series of passenger flows at the stopping points of the route is carried out.

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“…The administrator specifies the information of software and hardware resources that is detailed by agents representing environment nodes. He transfers the current state of environment objects through a specialized meta-monitoring system [3].…”

Section: Conceptual Modelingmentioning

confidence: 99%

“…Currently, there is a wide range of methods and tools for studying various aspects of the functioning of distributed computing systems (WorkflowSim [1], GridSim [2], and other systems [3]).…”

Section: Introductionmentioning

confidence: 99%

Methods and tools for evaluating the reliability of information and computation processes in Grid and cloud systems

Feoktistov¹,

Sidorov²,

Kostromin³

et al. 2019

The International Workshop on Information, Computation, and Control Systems for Distributed Environments 2019

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The paper addresses the relevant issue of ensuring the reliability of solving large scientific and applied problems in computing environments that integrate Grid and cloud computing. The main reliability parameter is the probability of successful problem-solving in a computing environment with the following specified quality criteria: efficiency of the allocated resources use, and time, deadline or cost of executing jobs. We propose a new technology for testing and evaluating the reliability of functioning of problem-oriented heterogeneous distributed computing environments. It integrates models, representing different layers of knowledge about the environments, and special tools that automate a study of these environments. Applying such technology provides an increase in the reliability and efficiency of heterogeneous distributed computing environments by parametric adjusting of local resources managers installed in the environment nodes. Their adjustment is implemented on the base of the results of testing and evaluating obtained with the use of complex (conceptual, simulation, and semi-natural) modeling and meta-monitoring of computational resources.

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Multiagent control of computational systems on the basis of meta-monitoring and imitational simulation

Cited by 19 publications

References 8 publications

Mitigating Uncertainty in Developing Scientific Applications in Integrated Environment

Mitigating Uncertainty in Developing Scientific Applications in Integrated Environment

Scenarios of Training Courses on Digital Modeling on the Example of Modeling a Route Network

Methods and tools for evaluating the reliability of information and computation processes in Grid and cloud systems

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