Queueing Systems: Theory and Applications
Queueing Systems: Theory and Applications - Special issue of queueing systems, theory and applications
Frontiers in queueing
Traffic modeling and analysis of hybrid fiber-coax systems
Computer Networks and ISDN Systems
Modelling with Generalized Stochastic Petri Nets
Modelling with Generalized Stochastic Petri Nets
On the single server retrial queue subject to breakdowns
Queueing Systems: Theory and Applications
Reliability Analysis of the Retrial Queue with Server Breakdowns and Repairs
Queueing Systems: Theory and Applications
Tool supported reliability analysis of finite-source retrial queues
Automation and Remote Control
A new computational algorithm for retrial queues to cellular mobile systems with guard channels
Computers and Industrial Engineering
Accessible bibliography on retrial queues: Progress in 2000-2009
Mathematical and Computer Modelling: An International Journal
Homogeneous finite-source retrial queues with server subject to breakdowns and repairs
Mathematical and Computer Modelling: An International Journal
Modeling of customer retrial phenomenon in cellular mobile networks
IEEE Journal on Selected Areas in Communications
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This paper aims at presenting an approach for analyzing finite-source retrial systems with servers subject to breakdowns and repairs, using Generalized Stochastic Petri Nets (GSPNs). This high-level formalism allows a simple representation of such systems with different breakdown disciplines. From the GSPN model, a Continuous Time Markov Chain (CTMC) can be automatically derived. However, for multiserver retrial systems with unreliable servers, the models may have a huge state space. Using the GSPN model as a support, we propose an algorithm for directly computing the infinitesimal generator of the CTMC without generating the reachability graph. In addition, we develop the formulas of the main stationary performance and reliability indices, as a function of the number of servers, the size of the customer source and the stationary probabilities. Through numerical examples, we discuss the effect of the system parameters and the breakdown disciplines on performance.