Analysis of Cumulative Distribution Function of the Response Time in Cloud Computing Systems with Dynamic Scaling
- 作者: Sopin E.S.1, Gorbunova A.V.1, Gaidamaka Y.V.1, Zaripova E.R.1
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隶属关系:
- Peoples’ Friendship University of Russia (RUDN University) Applied Probability and Informatics Department
- 期: 卷 52, 编号 1 (2018)
- 页面: 60-66
- 栏目: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175453
- DOI: https://doi.org/10.3103/S0146411618010066
- ID: 175453
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详细
One of the key performance measures of cloud computing systems is the response time. However, the mean value of this characteristic does not give the full picture of quality of service. Therefore, we derive the cumulative distribution function (CDF) of the response time in terms of Laplace-Stieltjes transform and use it to evaluate moments of the response time. Moreover, we introduce a simplification of the mathematical model that significantly reduces computing complexity for the response time CDF and provide analysis of approximation accuracy of the simplified model.
作者简介
E. Sopin
Peoples’ Friendship University of Russia (RUDN University) Applied Probability and Informatics Department
编辑信件的主要联系方式.
Email: sopin_es@rudn.university
俄罗斯联邦, Moscow, 117198
A. Gorbunova
Peoples’ Friendship University of Russia (RUDN University) Applied Probability and Informatics Department
Email: sopin_es@rudn.university
俄罗斯联邦, Moscow, 117198
Yu. Gaidamaka
Peoples’ Friendship University of Russia (RUDN University) Applied Probability and Informatics Department
Email: sopin_es@rudn.university
俄罗斯联邦, Moscow, 117198
E. Zaripova
Peoples’ Friendship University of Russia (RUDN University) Applied Probability and Informatics Department
Email: sopin_es@rudn.university
俄罗斯联邦, Moscow, 117198
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