МОДУЛЬНЫЙ ЦЕНТР ОБРАБОТКИ ДАННЫХ
The main threats to the reliability and information security data centers are designated and systematized. In first there are the technical threat of failure of the life support systems of various DC: server nodes, power system, air-conditioning, fire-fighting, provider's lines, cable systems, etc. In second there are external threats: in particular, the threat of DDoS-attacks (which now is one of the most critical threats). The ways to reduce and eliminate these threats are discussed. In particular, is discussed a variety of technical methods to improve the reliability and information security data centers, as well as legal (improving legislation).
The need for transmission and storage of large amounts of scientific data in the project space radio telescope "Radioastron" required us to organize a reliable communication channel between the tracking station in Pushchino and treatment data centre in Moscow. Managing such a communication network requires a complex approach and encompasses establishing secure access for a range of tasks. These tasks include controlling network devices, monitoring, timely replacement of equipment, software and firmware updates, data backups, as well as network infrastructure documentation.
Research on the modern level in such scientific fields as mathematical biology, bioinformatics and related closely connected with the latest achievements in the field of information technologies and is mainly based on processing of large volumes of digital information. The most promising direction is the use of cloud computing services as a methodological component and data centers, as the technology.
Under current conditions, we see growth in demand for IT outsourcing services. This implies the activation of design and construction processes for data processing centers (DPC). Since a DPC is a complicated and expensive system, there arises the issue of justifying selection of the future project based on the estimated costs of designing and operating data processing centers. This paper analyzes one of the possible complexes of measures to estimate costs for development and operation of data processing centers. The analysis identifi ed main groups of capital cost in development of data processing centers which were not fully taken into account in assessments of the total volume of capital investments in previously proposed methods. The article proposes regression models to evaluate processing center construction projects based on two measures. We propose to estimate the capital cost as a function of the projected fl oor space of service platforms and projected number of server racks. On the basis of the models developed, analysis of the construction sites of processing data centers was conducted. This showed the model’s suitability to real data. The main groups of operating costs for DPC maintenance were established, and a regression model of their evaluation was proposed. Based on the regression equation, we propose to calculate the processing center’s power consumption depending on the area of the service platform or the number of server racks. The operating cost of the data processing center is determined by the power value. Analysis of information on the operating cost of various data processing centers is in fairly good agreement with the calculations obtained on the basis of the model developed. The proposed models make it possible to evaluate with reasonable accuracy the project characteristics of development and subsequent operation of a data processing center.