Nikiforov
Vladimir O.
D.Sc., Prof.
doi: 10.17586/2226-1494-2016-16-5-963-966
SIMULATION OF INFORMATION INFRASTRUCTURE FOR SMALL PEDAGOGICAL SYSTEM
Read the full article
';
For citation: Artemova G.O., Gusarova N.F., Ivanov R.V. Simulation of information infrastructure for small pedagogical system. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2016, vol. 16, no. 5, pp. 963–966. doi: 10.17586/2226-1494-2016-16-5-963-966
Abstract
The model of information infrastructure control for small pedagogical system including virtual machines is presented. Particular models of pedagogical system parameters are defined within the control model; the usage of risk model and application possibility of software technical quality model are justified. The key events (decision points) are highlighted in describing the life cycle of infrastructure control. The set of methods and algorithms supporting decision-making in the framework of a small pedagogical system is proposed. In order to illustrate the applicability of the generated solutions the main results of the experiments are presented.
References
1. Spirin L.F. Theory and Technics of Pedagogical Problems Solutions: Develop Professional Pedagogic Training and Self-Education. Moscow, Rossiiskoe Pedagogicheskoe Agentstvo Publ., 1997, 174 p. (In Russian)
2. Simonov V.P. Educational Management: Know How in Education. Moscow, Vysshee Obrazovanie Publ., 2006, 368 p. (In Russian)
3. Pyrlina I.V. Service-Oriented Architecture: Operational Risks and Choice of Efficient System. Dis. Eng. Sci. Moscow, 2014, 192 p. (In Russian)
4. Krivolapov V.G. Kompleksnaya Metodika Modelirovaniya Riskov Informatsionnoi Bezopasnosti Otkrytykh Siste.: Dis. … Kand. Tekhn. Nauk [Complex Technique of Information Security Risk Modeling in Open Systems. Dis. Eng. Sci.]. Moscow, 2009, 140 p.
5. Ivantsova N.V. Informatsionnye i Kommunikatsionnye Tekhnologii v Obrazovanii. Available at: http://dpk-ikt.ucoz.ru (accessed 12.09.2016).
6. Saaty T.L. Decision Making with Dependence and Feedback. The Analytic Network Process. Pittsburgh, RWS Publ., 1996.
7. Fontela E., Gabus A. DEMATEL, innovative Methods. Technical Report no. 2, Structural analysis of the world problematique. Geneva Research Institute, 1974.
8. Kiselev I.S. Modeli i Algoritmy Analiza Razlichnykh Tipov Ekspertnykh Predpochtenii na Osnove Matrits Parnykh Sravnenii. Dis. … Kand. Tekhn. Nauk [Models and Algorithms for the Analysis of Various Expert Preferences Based on Pairwise Matrices Comparisons. Dis. Eng. Sci.]. St. Petersburg, 2011, 170 p.
9. Mikhailov L., Singh M. Fuzzy assessment of priorities with application to the competitive bidding. Journal of Decision Systems, 1999, no. 8, pp. 11–28
10. Mikhailov L. Deriving priorities from fuzzy pairwise comparison judgments. Fuzzy Sets and Systems, 2003, vol. 134, no. 3, pp. 365–385. doi: 10.1016/S0165-0114(02)00383-4
