Abstract

LEMOINE's network flow equations are generalized to the case of multiserver networks. These equations provide a basis for recursive evaluation of residual conditional sojourn time moments.

Highlights

  • LEMOINE’s network flow equations are generalized to the case of multiserver networks. These equations provide a basis for recursive evaluation of residual conditional sojourn time moments

  • "network flow equations" which as he claimed are a first step towards obtaining higher moments of sojourn times for customers in networks of queues

  • Nothing is said in this expressions about the customer’s itinerary through the network. It is the purpose of this paper to sketch how these network flow equations can be obtained from "splitting formulas" for passage time distributions which are previously obtained, at the same time generalizing LEMOINE’s result to the case of JACKSON networks with multiserver nodes

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Summary

Introduction

LEMOINE’s network flow equations are generalized to the case of multiserver networks. These equations provide a basis for recursive evaluation of residual conditional sojourn time moments. Lecently, LEMOINE [3] derived for JACKSON networks of single server nodes a set of

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