Visible to the public KNN-Fuzzy Classification for Cloud Service Selection

TitleKNN-Fuzzy Classification for Cloud Service Selection
Publication TypeConference Paper
Year of Publication2018
AuthorsNadeem, Humaira, Rabbani, Imran Mujaddid, Aslam, Muhammad, M, Martinez Enriquez A.
Conference NameProceedings of the 2Nd International Conference on Future Networks and Distributed Systems
PublisherACM
ISBN Number978-1-4503-6428-7
Keywordsclassification, cloud service, data mining, Fuzzy logic, fuzzy membership, k-nearest neighbor, Metrics, pubcrawl, resilience, Resiliency, security
Abstract

Cloud computing is an emerging technology that provides services to its users via Internet. It also allows sharing of resources there by reducing cost, money and space. With the popularity of cloud and its advantages, the trend of information industry shifting towards cloud services is increasing tremendously. Different cloud service providers are there on internet to provide services to the users. These services provided have certain parameters to provide better usage. It is difficult for the users to select a cloud service that is best suited to their requirements. Our proposed approach is based on data mining classification technique with fuzzy logic. Proposed algorithm uses cloud service design factors (security, agility and assurance etc.) and international standards to suggest the cloud service. The main objective of this research is to enable the end cloud users to choose best service as per their requirements and meeting international standards. We test our system with major cloud provider Google, Microsoft and Amazon.

URLhttps://dl.acm.org/citation.cfm?doid=3231053.3231133
DOI10.1145/3231053.3231133
Citation Keynadeem_knn-fuzzy_2018