We consider a memoryless loss system with servers S = {1, ..., J}, and with customer types C = {1, ..., I}. Servers are multi-type, so that server j can serve a subset of customer types C(j). We show that the probabilities of assigning arriving customers to idle servers can be chosen in such a way that the Markov process describing the system is reversible, with a simple product form stationary distribution. Furthermore, the system is insensitive, these properties are preserved for general service time distributions
We investigate multi-server queueing systems with Poisson arrivals, non-identical servers and custom...
In this paper we present a class of queueing models with multiple job types, multiple machines and ...
This paper focuses on a loss system in which both the arrival rate and the per-customer service rate...
We consider a memoryless loss system with servers S = {1, ..., J}, and with customer types C = {1, ....
We consider a memoryless loss system with servers S = {1,...,J}, and with customer types C = {1,...I...
We consider a memoryless Erlang loss system with servers S = {1, …, J}, and with customer types C = ...
We consider a memoryless loss system with servers S = {1,…, J}, and with customer types C = {1,…,I}....
We consider a single server system with infinite waiting room in a random environment. The service s...
We consider a memoryless single station service system with servers S={m_1, ..., m_K}, and with job ...
AbstractIntroducing the concept of semi-reversibility for stable service systems in which customers ...
In the paper, we study general Markovian models of loss systems with random resource requirements, i...
We investigate multi-server queueing systems with Poisson arrivals, non-identical servers and custom...
In this paper we present a class of queueing models with multiple job types, multiple machines and ...
This paper focuses on a loss system in which both the arrival rate and the per-customer service rate...
We consider a memoryless loss system with servers S = {1, ..., J}, and with customer types C = {1, ....
We consider a memoryless loss system with servers S = {1,...,J}, and with customer types C = {1,...I...
We consider a memoryless Erlang loss system with servers S = {1, …, J}, and with customer types C = ...
We consider a memoryless loss system with servers S = {1,…, J}, and with customer types C = {1,…,I}....
We consider a single server system with infinite waiting room in a random environment. The service s...
We consider a memoryless single station service system with servers S={m_1, ..., m_K}, and with job ...
AbstractIntroducing the concept of semi-reversibility for stable service systems in which customers ...
In the paper, we study general Markovian models of loss systems with random resource requirements, i...
We investigate multi-server queueing systems with Poisson arrivals, non-identical servers and custom...
In this paper we present a class of queueing models with multiple job types, multiple machines and ...
This paper focuses on a loss system in which both the arrival rate and the per-customer service rate...