VIRTUALIZED STOCHASTIC MULTI QUEUING MODEL BASED ON VMAX/M/G-MIN/I-CACHE - P λM FOR REDUCING CUSTOMER IDLE TIME EXPECTATION ON SINGLE SERVER UTILIZATION
A. Andrew Michael and M. Thiagarajan
Queuing is tremendous model for reducing workloads or execution of process in various functionalities using Markovain General Distribution (M/G/D). It expects to reduce the time of accomplishment arriving on ordered or unordered representation of workload in server utilization. Due to maximum arrival of customer request on single server at a time based on M/G/I, the server dumps to create the scheduling problem because of multi task. The large scale stochastic model (LSSM) doesn’t concentrate on this problem. To resolve this problem we modulated the distributed process into virtualized stochastic model (Vmax/M/G-min/I-cache) on multi queue setup model (P$\lambda$M) in single server utilization called Virtualized stochastic multi queuing model (VSMQM). The Virtual Resource queuing System is divided into four parts by creating single to multimodal service performance indicators in a shared distribution mode. Sorting the request buffer cache is created based on customer request arrival rate and resource output. To improve the use of model complex virtual resource sharing, different service performance outputs can achieve a different parameter input transformation on queuing theory.
Keywords: Max queuing, Probability matrix, distributed queuing, scheduling, server theory.