An Approach to the Decomposition of Large Stochastic ModelsComputer Research Laboratory, University of California, Santa Cruz, 1993 - Decomposition (Mathematics) |
Common terms and phrases
1.20 conditional throughput accuracy approximate conditional throughput conditional throughput evaluation conditional throughput light conditional throughput medium conditional throughput results conditional throughputs u(n curve fitting decomposition method divides the queueing equivalent model equivalent outer error in mean evaluation relative error example used corresponds family of decomposition fixed point iteration full decomposition full evaluation relative global dependencies global state dependencies inner model intermediate evaluation points intermediate points iterations 0.80 u(m maxima mean number medium light load medium load 50 mode point number in subnetwork number in system number of evaluation number of intermediate number of points operating regions partial evaluation points at iteration points evaluated population levels probability distribution p(m probability of number queueing model queueing network queueing system results at iteration sampling full evaluation Santa Cruz simple approach stochastic models subnetwork in isolation subnetwork was solved subnetwork with global subset throughput evaluation points throughput medium load total number UNIVERSITY OF CALIFORNIA