Trust Assessment-Based Multiple Linear Regression for Processing Big Data Over Diverse Clouds

Hadeel El-Kassabi; Mohamed Adel Serhani; Chafik Bouhaddioui; Rachida Dssouli

doi:10.1007/978-3-319-67837-5_10

Trust Assessment-Based Multiple Linear Regression for Processing Big Data Over Diverse Clouds

Hadeel El-Kassabi, Mohamed Adel Serhani, Chafik Bouhaddioui, Rachida Dssouli

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Assessing trust of cloud providers is considered to be a key factor to discriminate between them, especially once dealing with Big Data. In this paper, we apply Multiple Linear Regression (MLR) to develop a trust model for processing Big Data over diverse Clouds. The model relies on MLR to predict trust score of different cloud service providers. Therefore, support selection of the trustworthiness provider. Trust is evaluated not only on evidenced information collected about cloud resources availability, but also on past experiences with the cloud provider, and the reputation collected from other users experienced with the same cloud services. We use cross validation to test the consistency of the estimated regression equation, and we found that the model can perfectly be used to predict the response variable trust. We also, use bootstrap scheme to evaluate the confidence intervals for each pair of variables used in building our trust model.

Original language	English
Title of host publication	Emerging Technologies for Developing Countries - 1st International EAI Conference, AFRICATEK 2017, Proceedings
Editors	Rachida Dssouli, Hamid Harroud, Max Agueh, Fatna Belqasmi, Faouzi Kamoun
Publisher	Springer Verlag
Pages	99-109
Number of pages	11
ISBN (Print)	9783319678368
DOIs	https://doi.org/10.1007/978-3-319-67837-5_10
Publication status	Published - 2018
Event	1st International Conference on Emerging Technologies for Developing Countries, AFRICATEK 2017 - Marrakech, Morocco Duration: Mar 27 2017 → Mar 28 2017

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	206
ISSN (Print)	1867-8211

Other

Other	1st International Conference on Emerging Technologies for Developing Countries, AFRICATEK 2017
Country/Territory	Morocco
City	Marrakech
Period	3/27/17 → 3/28/17

Keywords

Big Data
Cloud
Community management
Multiple Linear Regression
Trust

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1007/978-3-319-67837-5_10

Cite this

El-Kassabi, H., Serhani, M. A., Bouhaddioui, C., & Dssouli, R. (2018). Trust Assessment-Based Multiple Linear Regression for Processing Big Data Over Diverse Clouds. In R. Dssouli, H. Harroud, M. Agueh, F. Belqasmi, & F. Kamoun (Eds.), Emerging Technologies for Developing Countries - 1st International EAI Conference, AFRICATEK 2017, Proceedings (pp. 99-109). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 206). Springer Verlag. https://doi.org/10.1007/978-3-319-67837-5_10

Trust Assessment-Based Multiple Linear Regression for Processing Big Data Over Diverse Clouds. / El-Kassabi, Hadeel ; Serhani, Mohamed Adel ; Bouhaddioui, Chafik et al.
Emerging Technologies for Developing Countries - 1st International EAI Conference, AFRICATEK 2017, Proceedings. ed. / Rachida Dssouli; Hamid Harroud; Max Agueh; Fatna Belqasmi; Faouzi Kamoun. Springer Verlag, 2018. p. 99-109 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 206).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

El-Kassabi, H , Serhani, MA , Bouhaddioui, C & Dssouli, R 2018, Trust Assessment-Based Multiple Linear Regression for Processing Big Data Over Diverse Clouds. in R Dssouli, H Harroud, M Agueh, F Belqasmi & F Kamoun (eds), Emerging Technologies for Developing Countries - 1st International EAI Conference, AFRICATEK 2017, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 206, Springer Verlag, pp. 99-109, 1st International Conference on Emerging Technologies for Developing Countries, AFRICATEK 2017, Marrakech, Morocco, 3/27/17. https://doi.org/10.1007/978-3-319-67837-5_10

El-Kassabi H , Serhani MA , Bouhaddioui C, Dssouli R. Trust Assessment-Based Multiple Linear Regression for Processing Big Data Over Diverse Clouds. In Dssouli R, Harroud H, Agueh M, Belqasmi F, Kamoun F, editors, Emerging Technologies for Developing Countries - 1st International EAI Conference, AFRICATEK 2017, Proceedings. Springer Verlag. 2018. p. 99-109. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-319-67837-5_10

El-Kassabi, Hadeel ; Serhani, Mohamed Adel ; Bouhaddioui, Chafik et al. / Trust Assessment-Based Multiple Linear Regression for Processing Big Data Over Diverse Clouds. Emerging Technologies for Developing Countries - 1st International EAI Conference, AFRICATEK 2017, Proceedings. editor / Rachida Dssouli ; Hamid Harroud ; Max Agueh ; Fatna Belqasmi ; Faouzi Kamoun. Springer Verlag, 2018. pp. 99-109 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

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Trust Assessment-Based Multiple Linear Regression for Processing Big Data Over Diverse Clouds

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