This paper aims to provide a comprehensive review on Markovian arrival processes (MAPs),
which constitute a rich class of point processes used extensively in stochastic modelling. Our …

Workloads and resource usage patterns in enterprise applications often show burstiness
resulting in large degradation of the perceived user performance. In this paper, we propose …

Developing efficient performance evaluation methods is important to design and control
complex production systems effectively. We present an approximation method (SLQNA) to …

In this paper, we present an approximate method for solution of load-dependent, closed
queuing networks having general service time distributions with low variability. The …

As increasingly more shop-floor data becomes available, the performance of a production
system can be improved by developing effective data-driven control methods that utilize this …

We develop a robust queueing network analyzer algorithm to approximate the steady‐state
performance of a single‐class open queueing network of single‐server queues with …

Efficient performance evaluation methods are needed to design and control production
systems. We propose a method to analyse single-server open queueing network models of …

The analysis for the BMAP/MSP/1 queueing system is based on roots of the associated
characteristic equation of the vector-generating function of system-length distribution at …

This paper studies stationary customer flows in an open queueing network. The flows are
the processes counting customers flowing from one queue to another or out of the network …

Queues with Markovian arrival and service processes, ie, MAP/MAP/1 queues, have been
useful in the analysis of computer and communication systems and different representations …