State reduction in the exact analysis of fork/join queueing systems with homogeneous exponential servers

A state reduction technique for the exact analysis of fork/join queueing systems is presented in this paper. The technique is based on the standard Markov model and can be applied to systems having K homogeneous exponential servers. For a closed system with M jobs, the technique reduces the size of the state space from (M+1)^K-M ^K states to (M+K-1/K-1) states. This amounts to more than five orders of magnitude of state reduction for a typical value of K=M=10. The state reduction technique can also be applied to the analysis of an open fork/join queueing system. It reduces the size of the state space from (B+1)^K states to (B+K/K) states where B is the maximum number of jobs allowed in the open queueing system. The state reduction amounts to more than six orders of magnitude for a typical value of K=10 and B=500