Abstract

An information distribution task technology for GRID-systems based on the use of simulation modeling GRASS environment was proposed. GRASS reproduces the process of functioning over time of elementary events that occur in the GRID-system with maintaining their interaction logic. This solution enables conducting of computational experiments that implement different methods of distribution, with a following selecting of the most effective solution on the basis of the collection, analysis and interpretation of simulation results. The proposed task of distribution technology using simulation modeling GRASS environment, enables implementing multiple distribution methods and selecting the best distribution environment that increases the efficiency of GRID-systems by reducing the time of the task performance and reducing the downtime of resources in highly related tasks. GRASS modeling environment has a modular structure, which consists of a core and dynamically loaded modules (plug-ins). Each module performs a highly specialized task, referring if necessary to the other modules of the system. The core provides means of inter-module interaction and provides boot and system configuration.

Highlights

  • GRID is a geographically distributed infrastructure, which is created on the basis of a set of heterogeneous network resources and is used to solving scientific tasks on large computing powers

  • One of the relevant objectives is the development of application software, the main function of which is providing the user of GRID-systems with convenient interface between the application and the required computing resources

  • GRASS environment is a project with an open source software, which implements modular environment of GRID systems [23], is cross platformed, implemented in C++ language using a cross platform Qt4, Boost libraries

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Summary

Introduction

GRID is a geographically distributed infrastructure, which is created on the basis of a set of heterogeneous network resources (cluster, server, separate PCs) and is used to solving scientific tasks on large computing powers. GRID is a coordinated, standardized and open environment that enables performing optimal distribution of computing resources to run the tasks, accessing at the entrance of the system. GRID-systems are divided into three types: voluntary, scientific and commercial. Each of these types has a number of advantages and disadvantages, is characterized by a large number of decisions, implementations, forms of organization of calculations. One of the relevant objectives is the development of application software, the main function of which is providing the user of GRID-systems with convenient interface between the application and the required computing resources

Analysis of scientific literature and the problem statement
The purpose and objectives of the study
The use of simulation modeling for the distribution of tasks in GRID-systems
Technologies of tasks distribution using GRASS environment
Peculiarities of GRASS simulation system
Conclusions
Distribution methods
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