Simulation of Tasks Distribution in Horizontally Scalable Management System

This paper presents an imitational model of the task distribution system for the components of territorially-distributed automated management system with a dynamically changing topology. Each resource of the distributed automated management system is represented with an agent, which allows to set behavior of every resource in the best possible way and ensure their interaction. The agent work load imitation was done via service query imitation formed in a system dynamics style using a stream diagram. The query generation took place in the abstract-represented center - afterwards, they were sent to the drive to be distributed to management system resources according to a ranking table

Study of the small-scale turbulence structure of the atmospheric surface layer

This paper presents the results of mathematical and software development for experimental study of turbulence structure of atmosphere surface layer. The data was obtained via ultrasonic thermo anemometer. The data processing and atmosphere turbulence parameter calculations were executed by using discretization and scaling schemes for studied meteorological parameters. The calculated parameters are sufficient to estimate the dynamic turbulence in surface layer of the atmosphere, including determining the stability class of atmospheric stratification

Software for storage and processing coded messages for the international exchange of meteorological information

The approach allows representing data of international codes for exchange of meteorological information using metadescription as the formalism associated with certain categories of resources. Development of metadata components was based on an analysis of the data of surface meteorological observations, atmosphere vertical sounding, atmosphere wind sounding, weather radar observing, observations from satellites and others. A common set of metadata components was formed including classes, divisions and groups for a generalized description of the meteorological data. The structure and content of the main components of a generalized metadescription are presented in detail by the example of representation of meteorological observations from land and sea stations. The functional structure of a distributed computing system is described. It allows organizing the storage of large volumes of meteorological data for their further processing in the solution of problems of the analysis and forecasting of climatic processes

Simulation model of load balancing in distributed computing systems

The availability of high-performance computing, high speed data transfer over the network and widespread of software for the design and pre-production in mechanical engineering have led to the fact that at the present time the large industrial enterprises and small engineering companies implement complex computer systems for efficient solutions of production and management tasks. Such computer systems are generally built on the basis of distributed heterogeneous computer systems. The analytical problems solved by such systems are the key models of research, but the system-wide problems of efficient distribution (balancing) of the computational load and accommodation input, intermediate and output databases are no less important. The main tasks of this balancing system are load and condition monitoring of compute nodes, and the selection of a node for transition of the user's request in accordance with a predetermined algorithm. The load balancing is one of the most used methods of increasing productivity of distributed computing systems through the optimal allocation of tasks between the computer system nodes. Therefore, the development of methods and algorithms for computing optimal scheduling in a distributed system, dynamically changing its infrastructure, is an important task

Designing of routing algorithms in autonomous distributed data transmission system for mobile computing devices with 'WiFi-Direct' technology

The results of the research of existent routing protocols in wireless networks and their main features are discussed in the paper. Basing on the protocol data, the routing protocols in wireless networks, including search routing algorithms and phone directory exchange algorithms, are designed with the 'WiFi-Direct' technology. Algorithms without IP-protocol were designed, and that enabled one to increase the efficiency of the algorithms while working only with the MAC-addresses of the devices. The developed algorithms are expected to be used in the mobile software engineering with the Android platform taken as base. Easier algorithms and formats of the well-known route protocols, rejection of the IP-protocols enables to use the developed protocols on more primitive mobile devices. Implementation of the protocols to the engineering industry enables to create data transmission networks among working places and mobile robots without any access points

Scheduling based on a dynamic resource connection

The practical using of distributed computing systems associated with many problems, including troubles with the organization of an effective interaction between the agents located at the nodes of the system, with the specific configuration of each node of the system to perform a certain task, with the effective distribution of the available information and computational resources of the system, with the control of multithreading which implements the logic of solving research problems and so on. The article describes the method of computing load balancing in distributed automatic systems, focused on the multi-agency and multi-threaded data processing. The scheme of the control of processing requests from the terminal devices, providing the effective dynamic scaling of computing power under peak load is offered. The results of the model experiments research of the developed load scheduling algorithm are set out. These results show the effectiveness of the algorithm even with a significant expansion in the number of connected nodes and zoom in the architecture distributed computing system

Research of GIS-services applicability for solution of spatial analysis tasks

Experiments for working out the areas of applying various gis-services in the tasks of spatial analysis are discussed in this paper. Google Maps, Yandex Maps, Microsoft SQL Server are used as services of spatial analysis. All services have shown a comparable speed of analyzing the spatial data when carrying out elemental spatial requests (building up the buffer zone of a point object) as well as the preferences of Microsoft SQL Server in operating with more complicated spatial requests. When building up elemental spatial requests, internet-services show higher efficiency due to cliental data handling with JavaScript-subprograms. A weak point of public internet-services is an impossibility to handle data on a server side and a barren variety of spatial analysis functions. Microsoft SQL Server offers a large variety of functions needed for spatial analysis on the server side. The authors conclude that when solving practical problems, the capabilities of internet-services used in building up routes and completing other functions with spatial analysis with Microsoft SQL Server should be involved

Description and development of the means of a model experiment for load balancing in distributed computing systems

The results of the statistical model experiments research of various load balancing algorithms in distributed computing systems are presented. Software tools were developed. These tools, which allow to create a virtual infrastructure of distributed computing system in accordance with the intended objective of the research focused on multi-agent and multithreaded data processing were developed. A diagram of the control processing of requests from the terminal devices, providing an effective dynamic horizontal scaling of computing power at peak loads, is proposed

An approach to clustering objects

Relevance of the work is due to the need to develop universal information-analytical approaches to extract knowledge from the rapidly growing volume of geophysical data. One of the main problems in the processing of geophysical data is to find in it objectively existing laws which could become the basis for diverse, including forward-looking, behavior models of selected parameters of geophysical fields. And that data clustering technologies are the foundation for the software development of similar information systems analysis of unstructured data. The main aim of the study is to develop a method of experimental data clustering of geophysical nature on the basis of allocation of structures for solving problems of the analysis of unstructured information when studying and controlling complex systems. The methods used in the study: classical and modern methods and clustering algorithms, graph theory algorithms, test case of clustering of a geophysical field of meteorological parameters from the territory of the northern part of Eurasia. The results. The authors developed a new algorithm of structures allocation in the initial geophysical field, which allows decomposing the test space into fields with the same behavior of the studied parameters based on spatial characteristics. The algorithm is based on the structuring of the various expansions of geophysical fields (season, anomaly, etc.) and provides a wide range of information on the object in the form of sets of parameters of the selected structures. This information, along with the accompanying empirical relationship between the parameters is considered as a generalization of the experimental characterization of the object and is the basis for the formation of hypotheses and behavior models. In addition, a structural model of the space of a meteorological parameter provides the ability to compress primary data without significant loss of semantic value of the target geophysical field

An approach to clustering objects

Relevance of the work is due to the need to develop universal information-analytical approaches to extract knowledge from the rapidly growing volume of geophysical data. One of the main problems in the processing of geophysical data is to find in it objectively existing laws which could become the basis for diverse, including forward-looking, behavior models of selected parameters of geophysical fields. And that data clustering technologies are the foundation for the software development of similar information systems analysis of unstructured data. The main aim of the study is to develop a method of experimental data clustering of geophysical nature on the basis of allocation of structures for solving problems of the analysis of unstructured information when studying and controlling complex systems. The methods used in the study: classical and modern methods and clustering algorithms, graph theory algorithms, test case of clustering of a geophysical field of meteorological parameters from the territory of the northern part of Eurasia. The results. The authors developed a new algorithm of structures allocation in the initial geophysical field, which allows decomposing the test space into fields with the same behavior of the studied parameters based on spatial characteristics. The algorithm is based on the structuring of the various expansions of geophysical fields (season, anomaly, etc.) and provides a wide range of information on the object in the form of sets of parameters of the selected structures. This information, along with the accompanying empirical relationship between the parameters is considered as a generalization of the experimental characterization of the object and is the basis for the formation of hypotheses and behavior models. In addition, a structural model of the space of a meteorological parameter provides the ability to compress primary data without significant loss of semantic value of the target geophysical field