We investigate some real time behaviour of a (discrete time) single se
rver system with nonpreemptive LCFS task scheduling. The main results
deal with the probability distribution of a random variable SRD(T), wh
ich describes the time the system operates without any violation of a
fixed task service time deadline T. A tree approach, similar to those
already used for the derivation of the same quantities for other sched
uling disciplines (e.g., FCFS) is suitable here again, establishing th
e power of such techniques once more. Relying on a simple general prob
ability model, asymptotic formulas concerning all moments of SRD(T) ar
e determined; for example, the expectation of SRD(T) is proved to grow
exponentially in T, i.e., E[SRD)(T)] similar to CT(3/2)rho(T) for som
e rho > 1. Our computations rely on a multivariate (asymptotic) coeffi
cient extraction technique which we call asymptotic separation, (C) 19
95 Academic Press, Inc.