We consider a memoryless Erlang loss system with servers S = {1, …, J}, and with customer types C = {1, …, I}. Servers are multitype, 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 consider a single server system with infinite waiting room in a random environment. The service s...
In this paper, we study a generalization of the classical multi-dimensional Erlang loss model with s...
We consider a memoryless single station service system with servers S={m_1, ..., m_K}, and with job ...
We consider a memoryless loss system with servers S = {1,...,J}, and with customer types C = {1,...I...
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}....
International audienceThis paper focuses on a loss system in which both the arrival rate and the per...
The authors analyze a generalization of the classical Erlang loss model. Customers of several types ...
Abstmct-We analyze a generalization of the classical Erlang loss model. Customers of several types c...
The paper considers a model of a multiserver queuing system (QS) with losses caused by the lack of r...
Abstract We consider the Erlang loss system, characterized by N servers, Poisson arrivals and expone...
In the present paper, we investigate a multi-server queueing system with heterogeneous servers, unli...
We consider a single server system with infinite waiting room in a random environment. The service s...
In this paper, we study a generalization of the classical multi-dimensional Erlang loss model with s...
We consider a memoryless single station service system with servers S={m_1, ..., m_K}, and with job ...
We consider a memoryless loss system with servers S = {1,...,J}, and with customer types C = {1,...I...
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}....
International audienceThis paper focuses on a loss system in which both the arrival rate and the per...
The authors analyze a generalization of the classical Erlang loss model. Customers of several types ...
Abstmct-We analyze a generalization of the classical Erlang loss model. Customers of several types c...
The paper considers a model of a multiserver queuing system (QS) with losses caused by the lack of r...
Abstract We consider the Erlang loss system, characterized by N servers, Poisson arrivals and expone...
In the present paper, we investigate a multi-server queueing system with heterogeneous servers, unli...
We consider a single server system with infinite waiting room in a random environment. The service s...
In this paper, we study a generalization of the classical multi-dimensional Erlang loss model with s...
We consider a memoryless single station service system with servers S={m_1, ..., m_K}, and with job ...