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This paper shows the implementation of mutual exclusion in PCBSD-FreeBSD operating systems on SMPng environments, providing solutions to problems like investment priority, priority propagation, interlock, CPU downtime, deadlocks, between other. Mutex Control concept is introduced as a solution to these problems through the integration of the scheduling algorithm of multiple queues fed back and mutexes.

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At modern conditions of world economy tendencies, the connections between subjects of economy are becoming more difficult and closer. In particular, if in the past were spread hard forms of private ownership of enterprises at present-day world is going conversion to more flexible and mobile composition of subjects' activities. Computer simulation modeling is giving the best results at the areas were the participants of social and economic activities are spending significant efforts and sufficiently much time for visuality playing and analysis of possible variants of the development of the events. The more difficult is the situation the more objects, factors, and possible variants of events' progress is necessary to play in different combinations between together and bigger effect possible to expect from application of simulation model for analyzing of the situation and for searching and making optimized decisions. The application of system dynamics method allows executing forecasting of economic agents including the sectors of economy.

Recent trends in the global education system are leading to the increasing competition in the field of higher education, which represent a big challenge for the universities participating in major rankings such as QS and THE. To improve the efficiency of the University, it is necessary to adjust its educational trajectories and programs in such a way as to meet the expectations of the student and the needs of the labor market. To describe the individual choice of the educational path, we used an econometric model, which takes into account the economic motivation of a potential student. Based on this model, we made a reasonable forecast of the future professional choice of students and their future income. After evaluating the amount of possible alternative educational paths for students, we made an estimation of the probability of a student changing of educational path using fuzzy logic model of Mamdani type. According to this approach, the probability of changing the educational trajectory for the student is calculated based on panel data, taking into account the amount of possible directions of graduation and educational paths of the student, the possibility of budgetary support of the graduation and the expected level of wages after graduation. To estimate the probability we developed a set of rules of the fuzzy inference system, designed to simulate the human behavior of making the decision of change between one and another educational path. The proposed architecture of the educational process analysis system (EPAS) provides educational institutions with the opportunity to establish business rules in accordance with their own needs. Based on this model, it is possible to analyze the impact of students' choice on the economic sectors development.