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Methods of Organization of Protected Data Processing Center of Virtual Economic Object

机译:虚拟经济对象保护数据处理中心的组织方法

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摘要

The purpose of the research is to develop approaches to organization of protected data processing center during creation of informational and analytical system of logistic support for life cycle of complex items. Methods of adaptation of resources of data processing center to real conditions of its functioning are offered. Peculiarities of adaptation of the system of protection, processor nodes, time characteristics of functioning of data processing center and algorithm of its work with the method of consecutive configuring are viewed. It is shown that the offered methods of adaptation solve the problem of organization of protected data processing center of integrated logistic support in a way, so computer resources and capacities are integrated and provided to members of life cycles of complex items as a single service, in the form of informational and analytical system, modified to specific requirements of user. The offered methodology of calculation of processor modes allows calculating the required number of processor nodes and significantly reducing expenditures in the process of organization of infrastructure of informational system. Analysis of structure realized by data processing center shows that it is possible to generate variants of their realization with determination of probability of their execution over a certain period. Evaluation of quality of configuring of data processing center is time period of stabilization of system during setting and configuring, which consists in number of errors sum approaching the set constant.
机译:该研究的目的是在创建复杂项目生命周期的后勤支持信息和分析系统的过程中,开发出组织受保护数据处理中心的方法。提供了使数据处理中心的资源适应其实际条件的方法。研究了保护系统的适应性,处理器节点,数据处理中心运行的时间特性及其使用连续配置方法的工作算法。结果表明,所提供的自适应方法以某种方式解决了集成后勤支持的受保护数据处理中心的组织问题,因此,计算机资源和容量被集成并作为单个服务提供给复杂项目的生命周期成员。信息和分析系统的形式,可以根据用户的特定要求进行修改。所提供的计算处理器模式的方法允许计算所需的处理器节点数量,并显着减少信息系统基础结构组织过程中的支出。对数据处理中心实现的结构的分析表明,可以通过确定在一定时期内执行它们的可能性来生成实现的变体。数据处理中心配置质量的评估是系统在设置和配置过程中稳定的时间段,其中包括错误总和接近设定常数。

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