A Study on Dynamical Queuing Systems
Journal: International Journal of Science and Research (IJSR) (Vol.6, No. 4)Publication Date: 2017-04-05
Authors : S. Chandrasekaran; P. Velusamy;
Page : 1966-1971
Keywords : Queue; Limiting distributions; Modeling; Extreme value maximum;
- Cascaded Multilevel Inverter with Reduced Number of Switches
- Cascaded Multilevel Inverter Topology with Reduced Number of Switches
- Selective Harmonic Elimination Technique Based Cascaded Multilevel Inverter with Reduced Number of Switches
- Power Quality Improvement by 11 Level Multilevel Inverter with Reduced Number of Switches
- Cascaded H-Bridge Multilevel Inverter with Reduced Number of Power Components
Abstract
In this article, modeling in queuing systems with heavy traffic customer flows is reviewed. Key areas include their limiting distributions, asymptotic behaviors, modeling issues and applications. Heavy traffic flows are features of queuing in modern communications, transportation and computer systems today. Initially, we reviewed the onset of asymptotic modeling for heavy traffic single server queuing systems and then proceeded to multi server models supporting diffusion approximations developed recently. Our survey shows that queues with heavy traffic customer flows have limiting distributions and extreme value maximum. In addition, the diffusion approximation can conveniently model performance characters such as the queue length or the waiting time distributions in these systems.
Other Latest Articles
- A Study on Queuing Model
- Mechanical Property Evaluation of Self-Compacting Concrete Incorporated with Composite Fibre
- Prevalence of Musculoskeletal Disorders of Neck, Shoulder and Lower Back Region in Dental Professionals
- Rooting&Custom Rom in Android
- Effect of Fe-Cr-C based Electrodes Coating on Hardness and Abrasive Wear Resistance
Last modified: 2021-06-30 18:32:29