IMS quality of service estimation with tensor concept

In this work, we propose methods of tensor analysis for the IMS network QoS characteristic estimation. Modern communication networks are representing a set of devices, systems and networks with the given interaction structure for a heterogeneous information streams processing. QoS support is a necessary mechanism for rendering of services in a modern communication networks but it increase cost and complexity equipment of service providers. In present, the main mathematical apparatus of QoS estimation is a queuing theory but it has some drawbacks. It should be noted that the base of next generation networks is an IP Multimedia Subsystem (IMS). IMS network have a many systems and complicated topology. Consequently, the task of supply QoS and QoS characteristic estimation in IMS is a very important for communications development. However, the efficient allocation of network resource management is complicated because it needs management many systems and processing the considerable amount information streams with a specified QoS for every type of the streams. Tensor analysis of networks provide opportunities to take into account the process-structure interaction and the application flexibility that result in the compute cost decreasing, the delay reducing due to dynamic management infocommunication systems and the good network scalability.