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Concurrent processing has become the default mode of operation in on-chip systems. Silicon has become cheap enough for having hardware facilities to support very large scale concurrent processing on chip. As a result the availability and applicability of power is becoming more of a limiting factor than logic. However, the advantage of parallelism in reducing power consumption will soon become unrealistic...
This paper discusses the dynamics of the epidemic spreading behaviors for susceptible-infected-recovery (SIR) model on the power-law growth networks, characterized by variable value for exponent 7. We give the general generated algorithm for power-law growth networks, analyze the dynamics behavior for SIR model in complex networks, and introduce the interaction Markov chains mean-field equations as...
In this paper, we derive the interaction Markov chains (IMC) mean-field equations for dynamics of the epidemic spreading susceptible-infected-recovery (SIR) model that takes place on top of complex homogeneous and heterogeneous networks. These equations are solved numerically by means of a stochastic approach. We use these equations to examine the threshold behaviour and dynamics of the model on small-world...
Generalised stochastic Petri nets (GSPNs) are widely used in the performance analysis of computer and communications systems. Response time densities and quantiles are often key outputs of such analysis. These can be extracted from a GSPNpsilas underlying semi-Markov process using a method based on numerical Laplace transform inversion. This method typically requires the solution of thousands of systems...
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