Scientific and Technical Journal

ELECTROTECHNIC AND COMPUTER SYSTEMS

ISSN Print 2221-3937
ISSN Online 2221-3805
STABILITY AND INEVITABILITY OF CONNECTIONS OF SUBJECT DOMAINS
Abstract:

А subject domain consists of objects, connections, and a set of mass problems of a subject domain. Instances of objects are connected with instances of connections between corresponding objects. A notion of a state of connections of a subject domain is introduced as a set of instances of connections between instances of objects of that subject domain. Two classes of connections were introduced – those, instances of which do not change with time – fraternal connections, which define structure of a subject domain and its properties; and those, instances of which change with time, but which server to solve specific mass problems in the subject domain – logical connections. A stability function of a connection was defined – a probability that an instance of a connection will not be destroyed during next change of a state of a subject domain. An inevitability of a connection was defined – a probability that an instance of a given connection will be created during next change of a state of a subject domain. Each of those functions allow classifying connections between objects into three classes: connections with low values of the function, connections with normal values of the function, connections with high values of the function. Numeric boundaries of those classes can be determined based on the distribution of those values. The given classification allow dividing connections into two groups: those that appear more often and those that appear less often; those, that exist during long time and those that exist during shorter time.Introduced notions can be used for a stochastic analysis of subject domains and for optimization of their work.

 

Authors:
Keywords
DOI
References
  1. MalakhovE.V. Rasshireniie operatsiy nad metamodelyami predmetnih oblastey s uchetom massovyh problem. [Expansion of Operations on Subject Domains Metamodels Taking into Account the Mass Problems], (2010), Eastern-European Journal of Enterprise Technologies, Kharkovm Ukraine, Technology Center, Vol. 5/2 (47), pp. 20 – 24 (In Russian).
  2. Chartrand G., and Zhang P., (2012), A First Course in Graph Theory (Dover Books on Mathematics). New York: Dover Publications,464 р.
  3. Jungnickel D., (2012), Graphs, Networks and Algorithms (4th ed.), Germany: Springer, 677 p.
  4. Connolly T.M., and Begg C.E., (2001), Database Systems: a Practical Approach to Design, Implementation, and Management (3rd ed.). Boston: Addison-Wesley. 1312 р.
  5. Kimball R., and Ross M., (2013), The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling (3rd ed.), Indianapolis, Indiana: Wiley. 600 р.
  6. Meyer B., (1997), Object-Oriented Software Construction ( 2 nd ed.). New Jersey: Prentice hall PTR. 1296 р.
  7. Fowler M., (2003), UML Distilled: A Brief Guide to the Standard Object Modeling Language (3rd Edition), Addison-Wesley Professional, Boston, 208 p.
  8. Stroock D.W., (2005), An Introduction to Markov Processes (Graduate Texts in Mathematics). Germany: Springer, 178 р.
  9. Haas P.J., (2002), Stochastic Petri Nets: Modelling, Stability, Simulation(Springer Series in Operations Research and Financial Engineering), Germany, Springer, 510 р.
  10. Mezhuyev V., Malakhov E., and Shchelkonogov D., (2015), The Method and Algorithms to Find Essential Attributes and Objects of Subject Domains [text] IEEE 2015 International Conference on Computer, Communication and Control Technology (I4CT 2015), Kuching, Malaysia, pp. 310 – 314.
Published:
Last download:
2017-11-22 15:13:54

[ © KarelWintersky ] [ All articles ] [ All authors ]
[ © Odessa National Polytechnic University, 2014. Any use of information from the site is possible only under the condition that the source link! ]
Яндекс.Метрика