The problems of determining the fractal dimension of a time series obtained using a self-similar traffic generator based on Markov chains with a controlled fractal dimension are stated. Based on numerical experiments to determine the fractal dimension of the generated numerical sequences, statistically significant changes are shown at different scales. The insufficient development of high-performance algorithms and methods for generating self-similar numerical sequences for procedure of traffic simulation in telecommunication systems and networks is indicated. The directions of further research on the management of the multifractality in generators based on Markov chains are proposed.

The article reveals the possibilities of using information technology in the design of systems for the ecological monitoring of the Caspian Sea. The need to establish monitoring systems has been caused by the increasing incidence of environmental disasters at the Caspian Sea coast. They seem to result from the activity of oil producing companies from different countries. The most appropriate systems to effectively monitor the level of water pollution are to be found in modern information technology. It will not only take into account cases of environmental disasters, but also will allow to carry out forecasting. The application of distributed databases being developed to collect information will make it possible to identify pollution hot-spots quite accurately, monitor the current situation and develop an adequate control action for a prompt response. Kazakhstan has adopted a number of legislative acts. They are aimed at creating information systems with the ability to integrate the data into a consolidated database of the results obtained from the state’s monitoring of the environment and natural resources. Embedding mathematical models into these systems allows to solve a number of problems of the analysis of information, such as forecasting, analysis for certain periods of time, operational monitoring at any time. The application of environmental assessment subsystem will permit to estimate the impact of harmful factors on the environment. By mathematical modeling of the technological process of industrial facilities, we can get the results enabling us to control sources of pollution. The modeling of current situation allows to quite accurately detect pollution foci, form a rapid response team and automate a coordinated activity of experts on environmental monitoring in different countries. The systematic approach to environmental monitoring is an urgent task, which implies the state’s control of the environment and public health, accounting data obtained, forecasting and opportunity to actively influence the situation and exchange information between different levels and databanks of the systems and subsystems of the state’s unified network of environment and natural resources monitoring.

The ecological system of the Caspian Sea, where both Kazakhstan and foreign companies are extracting hydrocarbon crude, is currently in a pre-crisis state, and there is a real risk of its further deterioration due to constant intervention, including the planned development of shallow waters in the north-eastern part of the Caspian Sea. Kazakh part of the Caspian Sea requires state regulation in the field of environmental monitoring. This needs the application of systematic approach to environmental issues, which involves community health and environmental surveillance system, recording of obtained data, forecasting, and ability to actively influence the situation. The application of databases, created to collect information, as well as monitoring the current situation allows one to identify pollution focuses with sufficient accuracy and develop the adequate control monitoring in order to provide prompt response. [Zhumadilova M.B. The Information Technologies for Designing the Surveillance System to Monitor Caspian Sea Water Contamination. Life Sci J 2013;10(12s):849-854]. (ISSN:1097-8135). http://www.lifesciencesite.com. 137