Paper Info
Title
Knn-Fuzzy Classification For Cloud Service Selection
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.
Year
DOI
Venue
2018
10.1145/3231053.3231133
ICFNDS'18: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND DISTRIBUTED SYSTEMS
Keywords
Field
DocType
Cloud service, classification, data mining, k-nearest neighbor, fuzzy membership
Fuzzy classification,Computer science,Popularity,Fuzzy logic,Cloud provider,Emerging technologies,Database,The Internet,Cloud computing,Information industry
Conference
Citations 
PageRank 
References 
0
0.34
14
Authors
4
Name
Order
Citations
PageRank
Humaira Nadeem100.34
Imran Mujaddid Rabbani201.69
Muhammad Aslam329679.45
Ana María Martínez Enríquez422.40