Analysis of Queuing Applications Performance using MatLab
Debnath Bhattacharyya, N. Thirupathi Rao, Pilla Srinivas, Jason K. Levy · International Journal of Advanced Science and Technology · 2019
Cloud computing is the technology that was gaining the attention of the most of the companies in market and utilization also increasing day to day by almost from companies to the common people.The working of these cloud models is very simple.A huge number of servers are used to store the data and a vast amount of data and the service of providing data to the customers staying at remote locations too.Almost all cloud based models are not free and users need to pay reasonable amount to use the services of these clouds.As the huge data is stored in these servers and the usage of this data by a huge number of customers, there is a chance of overcrowded at servers.Important data or the hot data like the new movies, exam results or bank transactions, etc. can have the most of the crowds at various time intervals.Hence, it is required to analyze the number of customers are being using the current cloud models at different intervals of time.Based on the results, the adjustments or the changes in the network model can be completed.In the current article, an attempt has been made to analyze a cloud model by considering the model working in study state and the performance was analyzed for two queuing models.Several queuing models are available in research to analyze the performance of a queuing model.In the current article, the queuing models considered are M/M/1 and M/M/c models.The performance of the queuing models are analyzed with various performance metrics of a network or the cloud model are arrival rates to the model, service rates to the model, traffic density, throughput etc.The results are displayed in the results section.