Service differentiation is a crucial issue in the next -generation Optical Packet Switched networks. In this paper we examine how bursty traffic influences the performance of a service differentiated Optical Packet Switched network. By using time -continuous Markov chains, we derive explicit results for the packet loss rates in the case of a bursty hyper-exponential arrival process. Results ind...

The deterioration law of the system will usually be assumed to be Markovian, that is, the future process of the system depends only on its state at the present time and not on its past history. This model has been suggested by Klein [1]. There are at least two good reasons for describing deterioration by a Markov model. Firstly, if each component is approximately subject to an exponential failu...

The power law process has been used to model reliability growth, software reliability and the failure times of repairable systems. This article reviews and further develops Bayesian inference for such a process. The Bayesian approach provides a unified methodology for dealing with both time and failure truncated data, As well as looking at the posterior densities of the parameters of the power ...

In this paper, we consider the operation of a thermal-aware task scheduler, dispatching tasks from an arrival queue as well setting voltage and frequency processing cores to optimize mean temperature margin entire chip (i.e., NoC routers). We model decision process scheduler semi-Markov problem (SMDP) account for most common uncertainties prevalent in MPSoC systems (including: stochastic nature...

The integrated modelling and analysis of functional and non-functional aspects of system behaviour is one of the important challenges in the field of formal methods today. Our ever-increasing dependence upon of all sorts of critical applications of networked and/or embedded systems, often including sophisticated multi-media features, lends this intellectual challenge also great practical releva...

is paper considers the M/M/NN repairable queuing system. e customers’ arrival is a Poisson process. e servers are subject to breakdown according to Poisson processes with different rates in idle time and busy time, respectively. e breakdown servers are repaired by repairmen, and the repair time is an exponential distribution. Using probability generating function and transform method, we ob...