Shukhman A.E., Belonovskaya I.D., Zaporozhko V.V., Polezhaev P.N., Ushakov Yu.A.
E-LEARNING COURSES DEVELOPMENT INTELLECTUAL METHODS FOR ADAPTIVE LEARNING ^{[№ 4 ' 2019]}
Modern professional education is characterized by a steady trend towards the transition to digitalization and personification of training. Modernization of professional education is currently associated with the introduction of adaptive, practice-oriented and flexible educational programs. At the same time, existing platforms for creating e-learning courses, for example, the most popular system Moodle, do not yet have the ability to intellectualize the learning process, flexibly adapt the educational content to the individual needs of students, do not contain convenient intellectual tools to support developers of online courses, automate routine operations for structuring educational content.
To solve these problems, we have analyzed approaches to the development of e-learning courses, identified development stages and requirements for e-learning courses, developed a model of e-learning courses and a model of data collected in the process of e-learning. Based on the developed models, we suggest intelligent methods for creating e-learning courses: an algorithm for structuring materials for an e-learning course, an algorithm for hierarchical classification of materials for a course according to thematic blocks, an algorithm for primary ranking of educational items in complexity and significance, an algorithm for initial determination of the dependencies between blocks and elements of a course. Logical and physical architecture of an intelligent platform for creating and maintaining courses for Moodle has been developed.
The use of intelligent platforms for the creation and maintenance of electronic e-learning courses will significantly increase the efficiency of the course authors and will expand the choice of courses in the regional digital educational environment, which will positively affect the quality of training.

Ushakov Yu.A., Shukhman A.E., Parfenov D.I., Polezhaev P.N., Ushakova M.V.
METHODOLOGICAL ASPECTS OF USING THE VIDEOCONFERENCING PLATFORM IN THE CONTINUING EDUCATION SYSTEM ^{[№ 3 ' 2019]}
All major browsers began to support WebRTC technology, many video conferencing systems switched to WebRTC as the main technology. But there still remain problems of controlling the quality of voice and video, especially in multi-point conferences, where there is no time to control each participant and there is no way to quickly reconnect some of the participants. The work is devoted to the possibility of automatic objective quality control of perception on the client side for both audio and video streams for the operational solution of WebRTC transmission problems.

Polezhaeva Zh.Yu.
ASPECTUAL PROPERTIES OF RUSSIAN VERBS-LIGHT TERM ^{[№ 9 ' 2016]}
Light in the Russian culture is one of the priority concepts and occupies a central place in the linguistic picture of the world. This explains the increased in recent years by the domestic researchers interested in linguistic svetooboznacheniyam. In Russian studies currently studied in detail on the material in different languages only the substantive and adjectival light term. However, it should be noted that light term gravitate mostly to verbal representation. Despite this complex research-svetooboznacheny verbs (verbs-CO), and in particular, describe their aspectual features have not yet been carried out. This article discusses grammatical semantics of verbs, CO, and therefore set their diversion possibilities, there is the relationship of word-formation models, which form the verbs, CO, with aspectual verb features, such as a limit/unsaturation, integrity/incompleteness, sub phase, modes of action. Aspectual properties investigated verbal vocabulary is largely determined by its word-formation capabilities. Verbs-CO and their Russian language according to our research, there are 428, word-building distributed over 118 slots. The vast majority (88 nests) have an initial (non-derivative) word verb. The lexical-semantic group of verbs, CO 90.6 % are derived tokens, 9.4 % — non-derivative. The most common method of forming verbs, CO — prefixation (32.6 %). In total, 7 were able to identify ways of word formation. Derivation Russian verbs-CO is directly related to their distribution modes of action (DM), which characterize the way of expressing the light trait in time. The vast majority of verb-CO involved in the formation of modes of action, are limiting. These verbs can form both temporary and efficient LED (overall result specially-productive). However, fully represented only terminativ-but-temporary (inchoative, finitivny, long-restrictive, delimitativny). Unsaturated verbs involved in the formation of CO statalnogo, evolutive, mnogoaktnogo intermittently-smyagchitelnogo modes of action. Of particular note is the relational diabetes because it combines verbs SB, acting in its figurative sense. They constitute the extreme periphery of the lexical-semantic group. The ability of the Russian verb-CO update aspectual signs enables the presentation of almost all basic and intermediate phases «phenomenon» of light: it starts, becoming, being, decay and extinction.

Bakhareva N.F., Polezhaev P.N., Ushakov U.A., Shukhman A.E.
MANAGEMENT OF ENTERPRISE SOFTWARE DEFINED NETWORKS ^{[№ 13 ' 2015]}
The existing solutions for enterprise networks have a number of drawbacks. First, there is a problem deciding where to install the security tools, which are usually placed at the subnet borders. This leads to the fact, that they only handle the traffic transmitted through them. It reduces the level of network security. Second, there is the problem of the efficient network traffic routing while ensuring quality of service at the appropriate level. To solve these problems we propose the usage of the software-defined network technology. On the base of this technology, the prototype's architecture for network security system of enterprise SDN is proposed. It includes the implementation of the algorithms for firewall, authentication, routing and delivering QoS. The proposed authentication algorithm for enterprise SDN supports IEEE802.1x, EAP, RADIUS, LDAP, WPA2-EAP. SDN is used to isolate the data streams of different users with the ability to create any number of isolated virtual networks without restrictions of VLAN, and to implement additional access control by firewall. The experimental results of the prototype research show the efficiency and suitability of the developed algorithms for enterprise SDNs. The results can be used to deploy enterprise SDNs in companies of the Orenburg region.

Ushakov U.A., Konnov A.L., Polezhaev P.N., Shukhman A.E.
SIMULATION MODEL OF VPN NETWORK WITH DYNAMIC AUTOCONFIGURATION ^{[№ 13 ' 2015]}
Nowadays virtual private networks (VPN) are widely used to connect distributed network segments. We have developed the concept of self-organizing virtual private network based on cloud technologies. Deploying VPN can be greatly simplified by using the automatic configuration of network devices based on various algorithms for determining the network topology as well as routing methods. VPN control and routing algorithms may be studied on the basis of simulation. The article presents the simulation model of a self-organizing VPN. Testing has revealed the dependence between increasing the network load and node communication failures. The VPN simulation model can be used to conduct experiments on any topologies, as well as for development of the network segment simulator.

Ushakov U.A., Polezhaev P.N., Shukhman A.E.
DEVELOPMENT OF MULTISERVICE MULTIPOINT VPN NETWORK WITH DYNAMIC AUTOCONFIGURATION ^{[№ 9 ' 2015]}
Nowadays the usage of enterprise VPN services is integrated in every large company. SOHO and SMB also use VPN for connection with Internet providers, VoIP, banking transactions. Our approach suggests to automatize building and using multipoint VPN topologies. We also proposed the cloud to build full-mesh dynamic multipoint VPNs based on routers using scripts. During research the prototype of autoconfigured VPN network was developed. Its experimental research showed good results in performance and memory consumption, reflecting great horizontal scalability of cloud VPN server. Proposed concept of autoconfigured network based on customer profile showed viability. We plan to extend it to the direction of network traffic management. We also propose to implement the full-mesh network for customers without the server for traffic transmission, which will further reduce the cost for customers.

Polezhaev P.N., Bahareva N.F., Shukhman A.E.
DEVELOPMENT OF EFFICIENT GENETIC ALGORITHM FOR ROUTING AND DELIVERING QOS USING SOFTWARE-DEFINED NETWORKS ^{[№ 1 ' 2015]}
This paper presents results of research aimed to the development of efficient routing methods for corporate software-defined networks and cloud systems. Optimization problem of proactive traffic routing was formalized. It considers flexible constraints on providing QoS parameters for data flows — minimum guaranteed bandwidth and maximum guaranteed delay. Genetic algorithm was proposed for solution of this problem. It is based on software-defined networking, which is used for collecting information on network state and installing routing rules to the switches. Implementation of this algorithm was estimated by software-defined network simulator, and showed good efficiency. In the future we plan to study it in detail using simulator and a real software-defined network.

Polezhaev P.N.
SIMULATION RESEARCH OF JOB SCHEDULING ALGORITHMS AND DATAFLOW CONTROL METHODS FOR CLOUD BASED GRIDS ^{[№ 3 ' 2014]}
This paper presents research results of job scheduling algorithms and dataflow control methods for cloud based grids. Research was carried out by grid simulator. Paper describes proposed job scheduling algorithms Backfill SDM and Backfill MDM which were compared to classical Backfill FF. Study has showed the efficiency of Backfill SDM by performance and balancing criteria. Additionally, combinations of this algorithm with conventional and developed reactive and proactive SDN dataflow control methods were estimated by simulator which showed the efficiency of Backfill SDM and proactive control method combination. This combination can be recommended for practical usage in real computing systems — clusters and grids.

Polezhaev P.N.
MATHEMATICAL MODEL OF DISTRIBUTED COMPUTING DATACENTER BASED ON SOFTWARE DEFINED NETWORKS FOR ITS SEGMENTS ^{[№ 5 ' 2013]}
This paper proposes mathematical model of distributed computing datacenter. This model is a theoretical basis for the developed distributed computing datacenter. It provides effective task scheduling by their assignment to topologically closest computing nodes and managing of data flows between them.

Vlatskaya I.V., Nesterenko M.Yu., Polezhaev P.N.
DECISION SUPPORT MODELS UNDER UNCERTAINTY WHICH REDUCED TO COOPERATIVE GAMES ^{[№ 9 ' 2012]}
This paper describes the decision support system under uncertainty on the basis of gaming simulation. It includes the model of management decision-making in competitive markets, the cooperation model of one product manufacturers in workflow, the model of scheduling jobs in grid and the model of costs distribution between the members of cooperative. Each model reduces the problem of decision-making to one of the variants of cooperative games.

Nesterenko M.Yu., Vlatskaya I.V., Polezhaev P.N.
EXPERIMENTAL RESEARCH OF PARALLEL ALGORITHMS FOR STATISTICAL GAMES SOLUTION ^{[№ 9 ' 2012]}
This paper describes parallel algorithms for solution of statistical two players games under condition of full or stochastic uncertainty. They are based on the computation of the classical decision making criteria. Developed algorithms experimentally demonstrated their effectiveness and scalability for SMP and cluster systems.

Tarasov V.N., Polezhaev P.N., Shukhman A.E., Ushakov Yu.A., Konnov A.L.
MATHEMATICAL MODELS OF CLOUD COMPUTING DATACENTER BASED ON OPENFLOW ^{[№ 9 ' 2012]}
This paper presents a model of cloud computing data center and a model of computing tasks. They are used by authors in the proposed version of cloud management system based on OpenStack. It implements efficient jobs scheduling through their allocation to topologically closest computing nodes and efficient data flow control between nodes for their topological localization and reduction of network contention.

Vlatskaya I.V., Nesterenko M.Yu., Polezhayev P.N.
DEVELOPMENT OF SUPPORT SYSTEMS FOR DECISION-MAKING UNDER UNCERTAINTY BASED ON THE GAMING SIMULATION ^{[№ 5 ' 2011]}
In this work, we carried out a comparative analysis of existing approaches to decision making under uncertainty, developed a conceptual model of decision making in conflict situations, as well as proposed the support system for decision-making under uncertainty based on the gaming simulation.

Gergel V.P., Polezhaev P.N.
THE THEORETICAL BASES OF EXPERIMENTAL STUDY OF ALGORITHMS OF PLANNING TASKS FOR THE COMPUTATIONAL CLUSTER WITH HELP OF SIMULATOR ^{[№ 9 ' 2010]}
This work represented the theoretical bases of an experimental study of the algorithms of planning tasks for the computational cluster, carried out with help of the simulator of cluster and its manager of system. The authors developed the models of computational cluster, its manager of system and computational load, and also the system of criteria and certificates of the comparison of the algorithms of planning.