V.I. Vorob-ev - Dr. Sci. (Eng.), Professor, Head of laboratory, SPIIRAS M.Yu. Petrov - Leading programmer, SPIIRAS V.I. Shkirtil - Ph. D., Associate Professor, Head of Laboratory, SPIIRAS

This paper considers an approach to the metadescription of a multiscale modeling process in cloud structures. It is proposed to overcome the definition complexity of such a key concept as a scale by means of the coherent conceptualized metadescription development. The work is based on the conceptualization of general nature systems, from which the definitions of the scale and the multiscale relations are derived. Then there are formed the precise specifications of the multiscale model formation, and after that the classification of multiscale models is built on basis of strict definitions. Nowadays there is a large quantity of multiscale techniques and systems designed for problem solving in different spheres. It is necessary to possess an ontological description of modeling spheres, methods and developed systems in the field of multiscale modeling in order to have a relevant search of methods and systems in this realm of research. The ontological model enables the automation of multiscale algorithms and data deployment procedures in the virtual cloud medium. After the formation of the multiscale model ontology it is offered to confront it with the cloud resource ontology. This makes possible for the cloud providers to sort out the best resource compositions founded on the consumer-s abstract demand. The ontological description is of triple nature. Its three constituents are: first, OWL ontology for the purpose of multiscale model and resources (hardware and software) description, including their dependencies, interoperability constraints and metadata; second, creation of an algorithm, that uses several search guidelines and inquiries in order to form the graph of all possible resource compositions, based on the abstract demand; and third, showing how this graph transforms itself into an integral program, that enables finding the optimal solution. Several examples of multiscale problems are considered in the paper including those of task security monitoring in the cloud environment and of risk estimation.

1. Yang A., Marguardt W. An ontological conceptualization of multiscale models. http://www.sciencedirect.com/science/ article/pii/S0098135408002524
2. Abdulle A. The Finite Element Heterogeneous Multiscale Method: a computational strategy for multiscale PDEs, Math. Sci. Appl. 2009. V. 31. R. 133 - 181.
3. Efendiev Y., Hou T. Multiscale finite element methods: theory and applications. Springer. 2009.
4. Gruberg T. R. Towards principals for the design of ontology-s used for knowledge sharing. International Journal of Human - Computer Studies. 1995. 43(5-6). P. 907 - 928.
5. Tomin P.Ju. Primenenie mnogomasshtabny'x algoritmov dlya resheniya zadach mnogofaznoj fil'traczii v anizotropny'x sredax // Preprinty' IPM im. M. V. Keldy'sha. 2011. № 14. http://library.keldysh.ru/preprint.asp-id=2011-14
6. Ronald Summers, Tariq Abdulla, Lucile Houyel, Jean Marc Schleich Progress with a Multiscale Systems Engineering Approach to Cardiac Development, Automatika - Journal for Control, Measurement, Electronics, Computing and Communications. 2011. V. 52. № 1.
7. Stephen D. Larson, Maryann E. Martone Rule-Based Reasoning with a Multi-Scale Neuroanatomical Ontology Proceedings of the OWLED 2007 Workshop on OWL: Experiences and Directions, Innsbruck, Austria. 2007.
8. Sorokine A., Bittner T. and Renscher C. 2006. Ontological investigation of ecosystem hierarchies and formal theory for multiscale ecosystem classifications. Geoinformatica, V. 10. №. 3. R. 313 - 335.
9. Gergel' V.P. Texnologii postroeniya i ispol'zovaniya klasterny'x sistem. http://www.intuit.ru/department/super-computing/tbucs/>
10. Paradigmy' parallelizma
11. Afanas'ev S.V. Meta modelirovanie optimizaczii taksonomii i bezopasnosti v oblachny'x vy'chisleniyax. Informaczionno-izmeritel'ny'e i upravlyayushhie sistemy'. 2011. № 11. S. 31 - 34.
12. Prakticheskoe znakomstvo s oblachnoj platformoj Eucalyptus//cloudzone. http://cloudzone.ru/articles/practice/15.html
13. OpenNebula Workshop//HPC und Wissenschaftliches Rechnen in der UAMR. http://hpc.uamr.de/wissen/opennebula-workshop/
14. Obzor chastnogo oblaka // microsoft. http://www.microsoft.com/ru-ru/server-cloud/private-cloud/overview.aspx
15. 10 osnovny'x preimushhestv oblaka Google // http://www.google.com/apps/intl/ru/business/cloud.html
16. Shishkin V.M. Stepennoe raspredelenie i upravlenie riskami kriticheskix sistem // Trudy' Instituta sistemnogo analiza RAN. 2007. T. 31. S. 42 - 63.
17. Vorob'ev V.I., Evnevich E.L., Fatkieva R.R. Modelirovanie setevogo trafika metodom Monte-Karlo // Vestnik Buryatskogo gosudarstvennogo universiteta. 2010. № 9. S. 258 - 262.
18. Fatkieva R.R. Model' obnaruzheniya atak na osnove analiza vremenny'x ryadov // Trudy' SPIIRAN. 2012. Vy'p. 21. S. 71 - 79.
19. Mishin K.N., Fatkieva R.R. Priroda setevy'x anomalij i ix polunaturnoe modelirovanie // Trudy' SPIIRAN. 2007. Vy'p. 5. S. 260 - 267.
20. Baranov S.N., Shishkin V.M. Sovremenny'e tendenczii industrii razrabotki programmny'x produktov // Trudy' SPIIRAN. 2012. Vy'p. 1(20).
21. Hewitt C. ORGs for Scalable, Robust, Privacy-Friendly Client Cloud Computing // IEEE Internet Computing. 2008. V. 12. № 5. R. 96 ? 99.
22. Youssef L. et al. Toward a Unified Ontology of Cloud Computing. http://www.cs.ucsb.edu/~lyouseff/CCOntology/Cloud OntologyPres.pdf
23. Security Guidance for Critical Areas of Focus in Cloud Computing V2.1. Copyright © 2009 Cloud Security Alliance. https://cloudsecurityalliance.org/csaguide.pdf
24. Shishkin V.M. Metodika i texnologiya identifikaczii stoxasticheskogo profilya riska na prichinno-obuslovlenny'x strukturax faktorov // Analiz, modelirovanie, upravlenie, razvitie e'konomicheskix sistem. Sb. nauch. trudov VI Mezhdunar. shkoly'-simpoziuma AMUR-2012. Simferopol': TNU. 2012. C. 373 ? 379.
25. Savkov S.V., Shishkin V.M. Analiz bezopasnosti informaczionny'x texnologij v usloviyax strukturnoj neopredelennosti faktorov riska // Trudy' kongressa po intellektual'ny'm sistemam i informaczionny'm texnologiyam «IS&IT-11». Nauch. izd. v 4-x t. M.: Fizmatlit. 2011. T. 2. S. 367 - 372.
26. Shishkin V.M., Savkov S.V. Veb-orientirovanny'j kompleks oczenki riskov v slozhny'x sistemax // Trudy' kongressa po intellektual'ny'm sistemam i inform. texnologiyam «IS&IT-12». Nauch. izd. v 4-x tt. M.: Fizmatlit. 2012. T. 2. S. 39 - 43.