Markov Models are of outstanding importance in the performance and reliability evaluation of computer systems and communication networks. In this paper we aim at contributing to the field of Markovian Process Algebras (MPAs). An MPA model is (or may be) the composition of several concurrent...

This ICB Research Report constitutes the proceedings of the first workshop on Monitoring, Adaptation and Beyond (MONA+ 2008), which was held on December 13, 2008 in Madrid, Spain. MONA+ has been collocated with the ServiceWave 2008 conference.

This investigation focuses to develop an e-SEIRS (susceptible, exposed, infectious, recovered) epidemic computer network model to study the transmission of malicious code in a computer network and derive the approximate threshold condition (basic reproduction number) to examine the equilibrium...

We propose a dynamic packet routing strategy by using neural networks on scale-free networks. In this strategy, in order to determine the nodes to which the packets should be transmitted, we use path lengths to the destinations of the packets, and adjust the connection weights of the neural...

Occurrence of congestion of packet flow in computer networks is one of the unfavorable problems in packet communication and hence its avoidance should be investigated. We use a neural network model for packet routing control in a computer network proposed in a previous paper by Horiguchi and...

In a computer network where nodes can fail, multipath transmission can be used to increase the probability of successful transmission. However, even multipath transmission has a probability of failure, which depends on the selected paths. Hence, estimating this probability of failure is of great...