Titlebook: Stochastic Networks; Paul Glasserman,Karl Sigman,David D. Yao Conference proceedings 1996 Springer-Verlag New York, Inc. 1996 Jackson netw

宣稱

HUSH

Stability for Queues with Time Varying Ratese, we obtain a rigorous basis for the fluid and diffusion approximations that are used to analyze this system. Moreover, the will be many candidates for the time-varying analogue to heavy traffic limit processes. The results are presented to suggest new methods for the asymptotic analysis of nonstationary, continuous time Markov chains.

Firefly

Alcove

Stable Priority Disciplines for Multiclass Networkst this instability may happen in many “favorite” disciplines (such as first-in-first-out, shorted expected service times, and shorted expected remaining service times) has been the focus of many recent studies. In this paper, we address the stability issue from a different angle by asking: whether g

BROOK

龍卷風(fēng)

儀式

Stability of Discrete-Time Jackson Networks with Batch Movementsch arrivals, departures and transfers are allowed under a Markovian routing of batches including changes of their sizes. This model corresponds with the continuous-time network work with batch movements studied by Miyazawa and Taylor [11], but needs a care for the discrete-time setting. It is shown

OASIS

OMIT

Nonparametric Estimation of Tail Probabilities for the Single-Server Queueme that the queue is out in the tail. We show that for reflected Brownian motion, the M/M/1 queue-length process, and the GI/G/1 waiting time sequence that the amount of time over which one must observe the queue grows exponentially in the tail parameter when such a nonparametric estimator is used.

Projection