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Arabian Journal for Science and Engineering
Published in: Arabian Journal for Science and Engineering 2/2022

24-06-2021 | Research Article-Computer Engineering and Computer Science

A Highly Reliable and Cost-effective Service Model for Finite Population Clouds: Analysis and Implementation

Authors: Rohit Sharma, Raghuraj Singh

Published in: Arabian Journal for Science and Engineering | Issue 2/2022

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Abstract

Cloud computing is the delivery of on-demand, network accessed and easily configurable computing resources on a pay-as-you-go basis. These resources are dynamically assigned and can be scaled up and down in response to users’ needs. An increasing number of businesses are switching to cloud based computing systems for internal uses. Hence, there is a need to explore queuing theory to model systems bound by the constraint of a finite user population. In this work, a model for the analysis of request stage of finite population cloud computing systems has been presented. The losses in the system due to impatient users owing to balking and reneging in the system have also been taken into account in the model. A scheduling method to improve the load balancing of the request stage of the system has been introduced. A cost and reliability measurement scheme has been used to analyse the performance/cost trade-off associated with request stage of the system. The results obtained have been presented and compared with existing model working in the same domain. Experimental results show that improved cost saving (as high as \(\approx 91\%\)) and high throughput rate can be achieved by applying the proposed CCRM scheme.
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Metadata
Title
A Highly Reliable and Cost-effective Service Model for Finite Population Clouds: Analysis and Implementation
Authors
Rohit Sharma
Raghuraj Singh
Publication date
24-06-2021
Publisher
Springer Berlin Heidelberg
Published in
Arabian Journal for Science and Engineering / Issue 2/2022
Print ISSN: 2193-567X
Electronic ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-021-05813-2

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