Abstract
SIP is most widely used signaling protocol in IP telephony for communication sessions conclusion. At time of providing voice services, this communications protocol messages fall to specialized network nodes. Service quality depends on their serving at nodes. To assess the temporal characteristics of services, it is necessary to know the signaling message average handling times values of possible deviations of distribution. In this work experimentally were determined statistical handling time characteristics of individual messages and total message flow traffic entering the SIP, PS, AS and DB MRF nodes. It was found that the service times of messages in the form of their distribution are close to normal. However, the hypothesis that the experimentally obtained distribution is normal was rejected by the 2criterion of verification. Therefore in the SIP signaling components analytical studies is proposed to use a general distribution. Ill. 4, bibl. 11, tabl. 3 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.114.8.692
Highlights
As a competitive alternative to traditional telephony is increasingly being used voice over internet protocol VoIP [1]
Where i - the appearance of a SIP proxy server unit (SIP PS) signaling message sequence number, servicing the call (INVITE - 1, 180 RINGING - 2, 200 OK - 3, ACK - 4, BYE - 5, 200 OK (BYE after) - 6), j - server number (Table 1), which carried out the experiment, k - the connection number, m - a signaling unit type number (SIP PS - 1, Applications Server (AS) - 2, DB - 3, Media Resource Function (MRF)-4)
All determined signaling messages maximum length of service values is more than 100 times lower than those used in the experiment between the time interval of adjacent signal appearance in the SIP PS, so no need to repeat the experiment and can continue to receive the results of statistical analysis
Summary
As a competitive alternative to traditional telephony is increasingly being used voice over internet protocol VoIP [1]. In order to identify the characteristics of communication session, analytical [5] and simulation [6] methods are used In both cases it is necessary to know the signaling message handling time statistical characteristics, including their distribution. The time interval between the moment tkIN , when the signaling message was adopted by server network adapter and the moment tkOUT , when he was sent over the network adapter, is a total length of signaling message service on the signaling node. It is the waiting time at unit W and k the signaling message processing time at communication service processor unit T (Fig. 2). This is done in order to determine whether the server components composition affects the signaling message distribution service times
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