The full text of this article
PQsel: combining privacy with quality of service in cloud service selection
by Li Lin; Tingting Liu; Jian Hu; Jian Ni
International Journal of Big Data Intelligence (IJBDI), Vol. 3, No. 3, 2016
Abstract: Big data analytics and management often need to exploit the processing and storage power of cloud computing. It is obviously important to choose a cloud service with good quality. Meanwhile, users fear data leakage and loss of privacy if their sensitive data is processed in the cloud. In this paper, we propose a novel cloud service selection method, called PQsel, where a cloud service is estimated by colligating its capability of privacy protection (CoPP) and quality of service (QoS). Using a fuzzy comprehensive evaluation technique and AHP-based approach, we calculate the CoPP of each cloud service based on the CoPPs of security mechanisms covering the entire data life-cycle. Furthermore, QoS-driven approaches are introduced to support the privacy-aware cloud selection. An example analysis is given to prove the reasonableness of the proposed method. Comprehensive experiments have been conducted, which demonstrate the effectiveness of the proposed method.
Online publication date: Wed, 10-Aug-2016
is only available to individual subscribers or to users at subscribing institutions.
Go to Inderscience Online Journals to access the Full Text of this article.
Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.
Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Big Data Intelligence (IJBDI):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable).
See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org