Abstract. A parallel distribution analysis by chain algorithm (PDAC) is presented for the performance analysis of closed, multiple class queueing networks. The PDAC algorithm uses data parallel computation of the summation indices needed to compute the joint queue length probabilities. The computational cost of the PDAC algorithm is shown to be of polynomial order with a lower degree than the cost of the serial implementation of the DAC algorithm. Examples are presented comparing the PDAC algorithm with the DAC algorithm to illustrate its advantages and limitations
We developed analogous parallel algorithms to implement CostRank for distributed memory parallel com...
Computer performance modeling of possibly complex computations running on highly concurrent systems ...
Stochastic performance models provide a formal way of capturing and analysing the complex dynamic be...
We develop a new computational algorithm called Distribution Analysis by Chain (DAC) which computes ...
grantor: University of TorontoAs distributed systems such as Internet and Integrated Servi...
An algorithm was developed for performance evaluation of single class closed queueing networks with ...
Product-form closed queueing networks are widely-used analytical models for the performance analysis...
This paper proposes two parallel variants of an Estimation of Distribution Algorithm (EDA) that repr...
This paper proposes two parallel versions of an Estimation of Distribution Algorithm (EDA) that repr...
. In the development of efficient parallel applications, reliable performance predictions are essent...
Abstract. This article describes queueing systems and queueing networks which are successfully used ...
Bibliography: leaves 88-91.This thesis examines how parallel and distributed algorithms can increase...
Abstract:-This paper presents a queueing model to measure the performance of parallel processing net...
In this paper, we introduce an analytical technique based on queueing networks and Petri nets for ma...
Analyses are addressed for a number of problems in queueing systems and stochastic modeling that ar...
We developed analogous parallel algorithms to implement CostRank for distributed memory parallel com...
Computer performance modeling of possibly complex computations running on highly concurrent systems ...
Stochastic performance models provide a formal way of capturing and analysing the complex dynamic be...
We develop a new computational algorithm called Distribution Analysis by Chain (DAC) which computes ...
grantor: University of TorontoAs distributed systems such as Internet and Integrated Servi...
An algorithm was developed for performance evaluation of single class closed queueing networks with ...
Product-form closed queueing networks are widely-used analytical models for the performance analysis...
This paper proposes two parallel variants of an Estimation of Distribution Algorithm (EDA) that repr...
This paper proposes two parallel versions of an Estimation of Distribution Algorithm (EDA) that repr...
. In the development of efficient parallel applications, reliable performance predictions are essent...
Abstract. This article describes queueing systems and queueing networks which are successfully used ...
Bibliography: leaves 88-91.This thesis examines how parallel and distributed algorithms can increase...
Abstract:-This paper presents a queueing model to measure the performance of parallel processing net...
In this paper, we introduce an analytical technique based on queueing networks and Petri nets for ma...
Analyses are addressed for a number of problems in queueing systems and stochastic modeling that ar...
We developed analogous parallel algorithms to implement CostRank for distributed memory parallel com...
Computer performance modeling of possibly complex computations running on highly concurrent systems ...
Stochastic performance models provide a formal way of capturing and analysing the complex dynamic be...
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