… We start by modeling L1 signaling and then we analyze L2 signaling. The total mean signaling
rate from L AGWs (ie, from all L1 links), ζ (L), is defined as the sum of the products of the …

… state-space models. Statespace models (eg, Markov chains, SPNs, Stochastic Automata
Networks) … , such as dependencies involving subsystems and resource constraints [23]. Distinct …

… technologies and to support the IMS (IP multimedia subsystem) sessions. In the first part of
… We also propose an analytical model to determine the associate cost for the signaling and …

… of the computing subsystem. This work exploits a Second Order Fluid Model to analyze and
study the … Consequently, a fluid stochastic model may help the prediction to be more reliable; …

… technologies and to support the IMS (IP multimedia subsystem) sessions. In this paper, we
… We also propose an analytical model to determine the associate cost for the signaling and …

… model (Model A) is presented by correlating three stochastic processes in discrete time (autoregressive
models)… the activity-model subsystem and the band-model subsystem. It takes as …

… reward nets (SRN) model modeled the probabilistic behavior of a single VNF while RBD …
RBD and SRN models to analyze the availability of an IP multimedia subsystem (IMS), …

… For determining the service times to the nodes LOG and SBD we use a disk subsystem
model based on [ 7 ], [ 11 ]. For the CM node, CPU operations such as scheduling, …

… a stochastic semi-Markov decision process (SMDP). Minimizing the end-to-end total video
distortion is the objective in our model… subsystem through the network subsystem. The network …

… should be formally deterministic or explicitly stochastic. While acknowledging that stochastic
models are in principle more like weather, he concluded that since deterministic models …