[[abstract]]Using the contraction principle, in this paper we derive a set of closure properties for sample path large deviations. These properties include sum, reduction, composition and reflection mapping. Using these properties, we show that the exponential decay rates of the steady state queue length distributions in an intree network with routing can be derived by a set of recursive equations. The solution of this set of equations is related to the recently developed theory of effective bandwidth for high speed digital networks, especially ATM networks. We also prove a conditional limit theorem that illustrates how a queue builds up in an intree network.[[fileno]]2030162010047[[department]]電機工程學
Abstract: This paper considers Gaussian flows multiplexed in a queueing network, where the underlyin...
In this dissertation, we establish large deviations results for partial sum processes on infinite ti...
Includes bibliographical references (p. 39-41).Supported by a Presidential Young Investigator award....
[[abstract]]n this paper, we refine the calculus proposed previously by Chang et al. (1994). The new...
In this paper, we re ne the calculus proposed in [5, 8, 9]. The new calculus, including network ope...
Let Qλ (t, y) be the number of people present at time t with y units of remaining service time in an...
Let Qλ(t, y) be the number of people present at time t with at least y units of remaining service ti...
This paper considers Gaussian flows multiplexed in a queueing network. A single node being a useful ...
This paper considers a two-node tandem queue where the cumulative input traffic is modeled as a Gaus...
In this paper, we refine the calculus proposed in [5, 8, 91. The new calculus, including network ope...
[[abstract]]Long-range dependence has been recently asserted to be an important characteristic in mo...
In this paper, we study large deviations of large capacity loss networks with fixed routing. We use ...
Abstract. This paper considers Gaussian flows multiplexed in a queueing network. A single node being...
We focus on a (two-node) tandem queue, fed by a large number of Gaussian inputs. With service rates ...
[[abstract]]n this paper, we study large deviations of large capacity loss networks with fixed routi...
Abstract: This paper considers Gaussian flows multiplexed in a queueing network, where the underlyin...
In this dissertation, we establish large deviations results for partial sum processes on infinite ti...
Includes bibliographical references (p. 39-41).Supported by a Presidential Young Investigator award....
[[abstract]]n this paper, we refine the calculus proposed previously by Chang et al. (1994). The new...
In this paper, we re ne the calculus proposed in [5, 8, 9]. The new calculus, including network ope...
Let Qλ (t, y) be the number of people present at time t with y units of remaining service time in an...
Let Qλ(t, y) be the number of people present at time t with at least y units of remaining service ti...
This paper considers Gaussian flows multiplexed in a queueing network. A single node being a useful ...
This paper considers a two-node tandem queue where the cumulative input traffic is modeled as a Gaus...
In this paper, we refine the calculus proposed in [5, 8, 91. The new calculus, including network ope...
[[abstract]]Long-range dependence has been recently asserted to be an important characteristic in mo...
In this paper, we study large deviations of large capacity loss networks with fixed routing. We use ...
Abstract. This paper considers Gaussian flows multiplexed in a queueing network. A single node being...
We focus on a (two-node) tandem queue, fed by a large number of Gaussian inputs. With service rates ...
[[abstract]]n this paper, we study large deviations of large capacity loss networks with fixed routi...
Abstract: This paper considers Gaussian flows multiplexed in a queueing network, where the underlyin...
In this dissertation, we establish large deviations results for partial sum processes on infinite ti...
Includes bibliographical references (p. 39-41).Supported by a Presidential Young Investigator award....