Method and apparatus for integration of traffic measurement and queueing performance evaluation in a network system

A computer-implemented method for modeling and analyzing traffic flow in a network of multiple interconnected nodes, comprising the steps of:

• receiving real traffic data;
• computing a steady state distribution function and power spectral function from said real traffic data;
• generating a stochastic model of a nonnegative rate random process using frequency domain techniques, wherein said stochastic model matches said computed steady state distribution function and power spectral function, wherein said step of generating uses linear programming techniques;
• inputting said nonnegative rate random process in a queue of each of said multiple interconnected nodes after said step of generating;
• performing network analysis on one or more of said multiple interconnected nodes to determine information regarding design of said network of multiple interconnected nodes;
• and
• constructing said network of multiple interconnected nodes using said determined information.

A computer-implemented method for generating traffic in a network for network simulation and performance evaluation, comprising the steps of:

• receiving real traffic data;
• computing a steady state distribution function and power spectral function from said real traffic data;
• generating a stochastic model of a nonnegative rate random process using frequency domain techniques, wherein said stochastic model matches said computed steady state distribution function and power spectral function, wherein said step of generating uses linear programming techniques, wherein said nonnegative rate random process comprise network traffic which may be input to a network for network simulation and performance evaluation;
• and
• inputting said nonnegative rate random process in said network after said step of generating.

A computer-implemented method for modeling and analyzing traffic flow in a network node, comprising the steps of:

• receiving real traffic data;
• computing a steady state distribution function and power spectral/correlation function from said real traffic data;
• generating a stochastic model of a nonnegative rate random process using time domain techniques, wherein said stochastic model matches said computed steady state distribution function and power spectral/correlation function, wherein said step of generating uses linear programming techniques;
• inputting said nonnegative rate random process in a queue of said network node after said step of generating;
• performing queuing analysis on said queue to determine a design of the network node;
• and
• constructing said network node using said design.

A computer-implemented method for modeling and analyzing traffic flow in a network of multiple interconnected nodes, comprising the steps of:

• receiving real traffic data;
• computing a steady state distribution function and power spectral/correlation function from said real traffic data;
• generating a stochastic model of a nonnegative rate random process using time domain techniques, wherein said stochastic model matches said computed steady state distribution function and power spectral/correlation function, wherein said step of generating uses linear programming techniques;
• inputting said nonnegative rate random process in a queue of each of said multiple interconnected nodes after said step of generating;
• performing network analysis on one or more of said multiple interconnected nodes to determine information regarding design of said network of said multiple interconnected nodes;
• and
• constructing said network of multiple interconnected nodes using said determined information.

A computer-implemented method for generating traffic in a network for network simulation and performance evaluation, comprising the steps of:

• receiving real traffic data;
• computing a steady state distribution function and power spectral/correlation function from said real traffic data;
• generating a stochastic model of a nonnegative rate random process using time domain techniques, wherein said stochastic model matches said computed steady state distribution function and power spectral/correlation function, wherein said step of generating uses linear programming techniques, wherein said nonnegative rate random process comprises network traffic which may be input to a network for network simulation and performance evaluation;
• and
• inputting said nonnegative rate random process in said network after said step of generating.