The aim of the study is to develop tools of increasing a problem solving reliability in a heterogeneous distributed computing environment by applying a diagnostics of computing resources components and using an analys...
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The aim of the study is to develop tools of increasing a problem solving reliability in a heterogeneous distributed computing environment by applying a diagnostics of computing resources components and using an analysis of problem solving schemes. A scheme (a plan) is an abstract program for a problem solving. A special attention is paid to the calculation of a problem solving scheme reliability on the basis of a logical-probabilistic method. This method is based on transiting from Boolean functions for a reliability description of a problem solving scheme to probability functions for determining indicators of such reliability. Improving a problem solving scheme reliability is carried out by a resource reservation. The resource reservation applied in a problem solving scheme provides obtaining of a reliability indicator that approximates maximally the predetermined criterion of reliability, taking into account limitations on a number of reserve resources. The example of the problem solving scheme and calculating its reliability is represented.
A toolset and model data sources for research and developing an environment for Next Generation Sequencing data processing are considered in the paper. The environment is constructed on the base of model transformatio...
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The article summarizes the experience gained during processing of the data about the terrain of the Bratsk Reservoir bed. We discuss the available sources of information on the land and underwater terrain and justify ...
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We represent a new approach to the development and use of a subject-oriented heterogeneous distributed computing environment for solving large-scale problems of energy security research. Both the development of scalab...
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In recent years, due to the active development of distributed computing technologies, the automation of computations based on these technologies became very important for solving the problems of qualitative research o...
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ISBN:
(数字)9789532330991
ISBN:
(纸本)9781728153391
In recent years, due to the active development of distributed computing technologies, the automation of computations based on these technologies became very important for solving the problems of qualitative research of binary dynamic systems, which are widely used as mathematical models in cryptography, bioinformatics, the study of fault tolerance of computer networks, and some other domains. In this regard, the issues are actualized of developing tools and providing infrastructures for the microservice-based implementation of scientific applications, which are characterized by the dynamism of resource requirements and oriented to use in a hybrid cloud environment. We offer microservice-oriented tools for the automation of solving computationally complex problems of a qualitative study of attractors of binary dynamic systems in a hybrid computing environment. This study is based on the Boolean constraint method and allows the finding of evolutionary parameters of system states (such as, for example, radius, period, and branching) without modeling systemdynamics. These tools provide the agents implemented as web-services for the integration of resources of on-premises computers with cloud resources using Dew computing. An example of the application of the developed tools is given.
We propose an approach to finding the roots of systems of quadratic equations in a box. This approach is based on a reduction to an auxiliary optimization problem. The auxiliary problem turns out to be, in general, a ...
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We suggest an approach to solve the dynamic patrolling problem as the variation of periodic vehicle routing problem with time windows. In order to do this, firstly a set of waypoints (targets) should be located in spa...
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We suggest an approach to solve the dynamic patrolling problem as the variation of periodic vehicle routing problem with time windows. In order to do this, firstly a set of waypoints (targets) should be located in space in such way that their spherical neighborhoods, which corresponds to the size of the robots vision/detections fields, would form a complete coverage of the protected perimeter. Regular inspections of each waypoint by robots of the group not less than once during specified period would guarantee the effective perimeter patrolling. Thus, the routing problem is to a feasible group route ensuring well-timed inspections for all waypoints of the mission. To solve the described problem we propose a hybrid approach, based on the combined use of genetic algorithms and methods and heuristics of local search. The proposed approach allows robots to effectively generate required solutions under given constraints and quickly readjust it in unforeseen situations due to the dynamic nature of the problem. A software modeling system implementing all the necessary computational procedures has been developed; the results of computations are given.
The paper presents algorithms for constructing nonlinear integral models based on the Volterra series tool. Modeling of dynamic processes means assessing the response to possible external changes in real time. The vec...
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We address the relevant problem of machine learning in a multi-agent system for distributed computing management. We propose a new approach to the agent learning in the system for managing job flows of scalable applic...
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In this paper, we study systems of Fredholm integral equations with a singular matrix multiplying the leading part. We address the solvability issues of such systems with separable kernels and, similarly to differenti...
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