In this paper, we develop a new approach to studying the asymptotic behavior of fluid model solutions for critically loaded processor sharing queues. For this, we introduce a notion of relative entropy associated with measure-valued fluid model solutions. In contrast to the approach used in [12], which does not readily generalize to networks of processor sharing queues, we expect the approach developed in this paper to be more robust. Indeed, we anticipate that similar notions involving relative entropy may be helpful for understanding the asymptotic behavior of critical fluid model solutions for stochastic networks operating under various resource sharing protocols naturally described by measure-valued processes
This second version improves the presentation of results in Section 3 and in Appendix C.Consider a s...
We consider a processor sharing queue where the number of jobs served at any time is limited to K, w...
Stochastic processing networks arise as models in manufacturing, telecommunications, transportation,...
In this paper, we develop a new approach to studying the asymptotic behavior of fluid model solution...
Consider a single server queue with renewal arrivals and i.i.d. service times in which the server op...
This paper contains an asymptotic analysis of a fluid model for a heavily loaded processor sharing q...
We investigate a processor sharing queue with renewal arrivals and generally distributed service tim...
Motivated by applications in computer and communication systems, we consider a pro-cessor sharing qu...
Consider a single server queue with renewal arrivals and i.i.d. service times in which the server op...
We study the asymptotic behavior of solutions to a fluid model for a data communication network, whe...
Abstract. We investigate a processor sharing queue with renewal arrivals and generally distributed s...
This paper treats transience for queueing network models by considering an associated fluid model. I...
The dissertation is organized into two parts. In the first part we discuss a queueing network analyz...
In the past decade, communication networks have experienced dramatic growth in all dimensions: size,...
We consider a model of Internet congestion control that represents the randomly varying number of fl...
This second version improves the presentation of results in Section 3 and in Appendix C.Consider a s...
We consider a processor sharing queue where the number of jobs served at any time is limited to K, w...
Stochastic processing networks arise as models in manufacturing, telecommunications, transportation,...
In this paper, we develop a new approach to studying the asymptotic behavior of fluid model solution...
Consider a single server queue with renewal arrivals and i.i.d. service times in which the server op...
This paper contains an asymptotic analysis of a fluid model for a heavily loaded processor sharing q...
We investigate a processor sharing queue with renewal arrivals and generally distributed service tim...
Motivated by applications in computer and communication systems, we consider a pro-cessor sharing qu...
Consider a single server queue with renewal arrivals and i.i.d. service times in which the server op...
We study the asymptotic behavior of solutions to a fluid model for a data communication network, whe...
Abstract. We investigate a processor sharing queue with renewal arrivals and generally distributed s...
This paper treats transience for queueing network models by considering an associated fluid model. I...
The dissertation is organized into two parts. In the first part we discuss a queueing network analyz...
In the past decade, communication networks have experienced dramatic growth in all dimensions: size,...
We consider a model of Internet congestion control that represents the randomly varying number of fl...
This second version improves the presentation of results in Section 3 and in Appendix C.Consider a s...
We consider a processor sharing queue where the number of jobs served at any time is limited to K, w...
Stochastic processing networks arise as models in manufacturing, telecommunications, transportation,...