METHOD OF DEFINITION OF PROBABILITY-TIME CHARACTERISTICS OF LAYER OF SERVICES AND APPLICATIONS SERVERS OF IMS
DOI:
https://doi.org/10.15588/1607-3274-2019-4-14Keywords:
IMS, probability-time characteristics, layer of services and applications servers, approaches of the queuing theory, tensor analysis, types of services.Abstract
Context. Article is devoted to development of a method of definition of probability-time characteristics of layer of services andapplications servers of IMS. It is shown that constantly growing a variety of services which IMS, and increase in demand for them
among users is capable to provide and also the fact that with development of telecommunications the increasing attention is paid to
quality of providing services – QoS, the problem of assessment of quality of providing services causes relevance of development of a
method of definition of probability-time characteristics of layer of services and applications servers of IMS.
Objective. Develop a method of definition of probability-time characteristics of layer of services and applications servers of IMS
taking into account different types of services which IMS is capable to provide.
Method. It is considered architecture of IMS. The main attention is paid to the layer of services and applications servers. For development
of a method of definition of probability-time characteristics of layer of services and applications servers of IMS it is offered
to use approaches of the queuing theory and the tensor analysis of networks. The offered method represents the sequence of
stages which execution allows to define structural blocks of layers of services and applications servers of IMS which are responsible
for providing services of different types; present call session control function and the layer of services and applications servers in the
form of separate laid on network – initial queuing network; for use of a planimetric method to enter the imagined branch which creates
the closed circuit; enter planimetric intensity and define their directions; define a transition matrix from initial network to primitive
network; present the invariant equation for initial network; define planimetric intensity and on their basis to calculate intensity of
receipt of requests for services and loadings of servers in initial network. As a result – to receive expressions for calculation of probability-
time characteristics of layer of services and applications servers.
Results. The method of definition of probability-time characteristics of layer of services and applications servers of IMS on the
basis of approaches of the queuing theory and tensor analysis of networks which allows to consider different types of services which
IMS is capable to provide is offered.
Conclusions. The method of definition of probability-time characteristics of layer of services and applications servers of IMS
will allow designers IMS to calculate probability-time characteristics at early stages of the project that will allow to define the necessary
network resources for ensuring required value of quality of providing services of different types. Further, at development of the
offered method, at a research of layer of services and applications servers of IMS for the purpose of definition of probability-time
characteristics accounting of self-similarity of a flow of requests for services and restrictions of a buffer memory of servers is reasonable.
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