Institutul de Matematică şi Informatică "Vladimir Andrunachievici"
Universitatea de Stat din MoldovaRO EN
The response time analysis of queuing model in cloud computing environment
Authors: Ali Madankan
Keywords: Cloud Architecture, Queuing System, Response Time, Quality of Service.
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Keywords: Cloud Architecture, Queuing System, Response Time, Quality of Service.
Abstract
In this paper, the queuing theory is used to model cloud computing environment. The aim of this job is to analyze the response time as a measure of the Quality of Service (QoS) of computer services. In the cloud computing, multi resources need to be allocated simultaneously to multiple customers. When a customer requests for a service, if servers are busy, the requested job enters into the waiting line until a server completes its service. So, this may lead to a bottleneck in the network. By modeling cloud platforms by a queuing network, it can be easy to determine and to measure the QoS. The arrival rate and the service rate of processing servers are two main parameters that can affect the performance of the model; so, they are used to analyze the performance of the model. This paper proposes a queuing model which is applied at multiple servers in order to analyze the response time and also to improve the network performance and QoS effectively in a cloud computing environment.University of Zabol
Zabol, Iran
E-mail:
Zabol, Iran
E-mail:
DOI
https://doi.org/10.56415/csjm.v30.04Fulltext
– 0.78 Mb
Contents
- Approach for the development of mobile applications based on migrant objects
- Interactive System for Algorithm and Data Structure Visualization
- Revisiting the Role of Classical Readability Formulae Parameters in Complex Word Identification (Part 2)
- The response time analysis of queuing model in cloud computing environment
- Solving the non-linear multi-index transportation problems with genetic algorithms
- A hybrid deep learning and handcrafted feature approach for the prediction of protein structural class
- Triple Roman domination subdivision number in graphs
- Workshop on Intelligent Information Systems (WIIS2022)
- The International Conference on Linguistic Resources and Tools for Natural Language Processing ConsILR-2022
