@inproceedings{cd17116725e4442cad73892fed4b02af,
title = "Fuzzy cloud service selection framework",
abstract = "Cloud computing is the latest computing paradigm that delivers hardware and software resources as virtualization enabled services. Recently, cloud service selection has emerged as an important research problem due to large number of cloud providers and their diverse service configurations, multiple selection criteria, and customer's fuzzy perception of Quality of Service (QoS). In this paper, we propose a novel fuzzy logic framework for cloud service selection based on the individual QoS criteria of customers. In this model, the necessary service configuration and run-time QoS data is collected from reliable sources such as monitoring services, customers' feedbacks, and certified cloud providers' information. The obtained results from conducted case study shows validity and applicability of the proposed framework.",
keywords = "Cloud Provider, Cloud Service Selection, Fuzzy Logic, Monitoring tools, Multi-Criteria Decision Process, User feedback",
author = "Masoumeh Tajvidi and Rajiv Ranjan and Joanna Kolodziej and Lizhe Wang",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 3rd IEEE International Conference on Cloud Networking, CloudNet 2014 ; Conference date: 08-10-2014 Through 10-10-2014",
year = "2014",
month = nov,
day = "26",
doi = "10.1109/CloudNet.2014.6969035",
language = "English",
series = "2014 IEEE 3rd International Conference on Cloud Networking, CloudNet 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "443--448",
booktitle = "2014 IEEE 3rd International Conference on Cloud Networking, CloudNet 2014",
address = "United States",
}