We study the stochastic machine replenishment problem, which is a canonical special case of closed multiclass queuing systems in Markov decision theory. The problem models the scheduling of processor repairs in a multiprocessor system in which one repair can be made at a time and the goal is to maximize system utilization. We analyze the performance of a natural greedy index policy for this pro...

Analytic models provide a simple but approximate method for predicting the performance of complex processing systems early in the design cycle. Over the years, extensive use has been made of various queuing models to analyze the memory hierarchies of multiprocessor systems in order to estimate the finite cache penalty and resulting system performance measured in cycles per instruction executed....

This article investigates the problem of the quality of service decrease in CARNet network during high videoconferencing traffic. The main objective of this research is to apply different queuing methods, i.e. FIFO, Priority Queuing and Weighted Fair Queuing on the proposed network. The ultimate objective is to create a model for the quality of service performance measurement based on the CARNe...

Reservoir modeling is the process of generating numerical representations of reservoir conditions and properties on the basis of geological, geophysical, and engineering data measured on the Earth’s surface or in depth at a limited number of borehole locations. Therefore, reservoir modeling requires an incorporation of the data from a variety of sources, along with an integration of knowledge a...

This paper presents a new mathematical model to solve cell formation problem in cellular manufacturing systems, where inter-arrival time, processing time, and machine breakdown time are probabilistic. The objective function maximizes the number of operations of each part with more arrival rate within one cell. Because a queue behind each machine; queuing theory is used to formulate the model. T...

Modeling and predicting age differences in driver mental workload and performance may help the invehicle system design to reduce or prevent information overloading on older drivers. However, few computational models exist that account for age differences in mental workload. We propose a new computational modeling approach to model workload and performance—a queuing network approach based on que...