Reenterable Model of Provider Backbone Bridge

Reenterable Model of Provider Backbone Bridge

The model has the same structure for any given PBB network. It evaluates the maximal and average network response time on-fly. The network topology is inputted as a value of dedicated constant together with other parameters such as addresses of various types of terminal and communication equipment their performance and the number of ports. Reenterable models are devised for model-driven design of networks. Dmitry A. […]

Read Me

Reenterable Model of Rectangular Communication Grid with Cut-through Nodes

Reenterable Model of Rectangular Communication Grid with Cut-through Nodes

A reenterable model of communication grid with cut-through nodes is constructed. The cut-through transmission of packets works fast, because it uses only the head of packet, which contains the destination address, for the forwarding decision. The reenterable models of the grid structures do not depend on the grid size that is the main advantage of reenterable models. The grid performance and average packet delivery time […]

Read Me

Reenterable Model of Rectangular Communication Grid

Reenterable Model of Rectangular Communication Grid

A reenterable model of communication grid with store-and-forward (SAF) nodes is constructed. The reenterable models of the grid structures do not depend on the grid size that is the main advantage of reenterable models. The grid performance and average packet delivery time are evaluated for various intensity of Poisson and Uniform distributions.   Shmeleva T.R. Efficiency estimation of computing grids with various traffic types. Proceedings […]

Read Me

Rectangular Grid with Cut-through Switching Nodes

Rectangular Grid with Cut-through Switching Nodes

The model is composed of packet switching nodes situated on a rectangular grid and generators of traffic attached to the grid borders. It is supplied with malefactor models in the form of traffic guns disguised under regular multimedia traffic. Switching nodes use cut-through transmission of packets that works fast, because it uses only the head of packet, which contains the destination address, for the forwarding […]

Read Me

Rectangular grid under disguised traffic attack

Rectangular grid under disguised traffic attack

The model consists of an 8×8 matrix of switching nodes that deliver packets to computing nodes which are attached to the matrix borders and produce and consume packets. Traffic guns are added to the model to represent traffic attacks. Simulation in CPN Tools revealed simple and dangerous traffic gun configurations. D. A. Zaitsev , T. R. Shmeleva, W. Retschitzegger, B. Pröll Security of grid structures […]

Read Me

Source Code

Source Code

GUI No documentation currently available. Simulator If you are on Windows, you need a recent version of Cygwin You need a patched version of SML/NJ to get started. In some directory run bin/buildml where is the minor version you wish to install, e.g., 73. The directory created before must be added to your path Test that SML/NJ installed correctly by executing sml Then try executing […]

Read Me Leave comment

Weibull

Weibull

Note: Introduced in CPN Tools 3.5.3. Interface weibull(lambda:real, k:real) : real where lambda>0.0 and k>0.0. Returns a drawing from a Weibull distribution with parameters lambda and k. Raises Weibull exception, if lambda<=0.0 or k<=0.0. Related pages Random distribution functions

Read Me Leave comment

Uniform

Uniform

Interface uniform(a:real, b:real) : real where a<=b. Returns a drawing from a continuous uniform distribution between a and b. Raises Uniform exception, if a>b. Characteristics Mean: (a+b)/2 Variance: ((b-a)^2)/12 Density functions for continuous uniform distributions: Example uniform(1.0,10.0) A person is asked to choose a real number between 1 and 10. This random variable is uniformly distributed with parameters a=1.0 and b=10.0. Related pages Random distribution […]

Read Me Leave comment

Student

Student

Interface student (n:int) : real where n>=1. Returns a drawing from a Student distribution (also called t distribution) with n degrees of freedom. Note that as n increases, the Student density approaches the normal density. Indeed, even for n=8, the Student density is almost the same as the normal density. Raises Student exception, if n<1. Characteristics Mean: 0 Variance: 1/n-2 Density functions for student distributions: […]

Read Me Leave comment

Rayleigh

Rayleigh

Note: Introduced in CPN Tools 3.4.0. Interface rayleigh(s:real) : real where s >=0.0. Returns a drawing from a rayleigh distribution with parameter s. Raises Rayleigh exception, if s<=0.0. Related pages Random distribution functions

Read Me Leave comment