Fuzzy Clustering Algorithm Intended for Mining Software Services on the Cloud

被引:0
|
作者
Jagli, Dhanamma [1 ,2 ]
Purohit, Seema [1 ,3 ]
Chandra, N. Subash [1 ,4 ]
机构
[1] JNTU, Hyderabad, Telangana, India
[2] Univ Mumbai, VES Inst Technol, Bombay, Maharashtra, India
[3] Univ Mumbai, Kirti Coll, Bombay, Maharashtra, India
[4] CVR Coll Engn, CSE, Hyderabad, Andhra Pradesh, India
关键词
Cloud Computing; Software-As-A-Service (SaaS); Fuzzy Clusterering Algorithm; Data Mining Clustering; QUALITY MODEL;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the current technological era, the use of computers becomes an essential part of our life. The Internet has been become as mandatory in the human-being life. The cloud computing has the potential to transform the current static Internet into a fully integrated future Internet. It is a style of computing in which resources are provided "as a service" to users who need not have knowledge or expertise and or control over the infrastructure. The cloud computing technology has become a popular and necessary in the present decade. The cloud computing is the way of sharing resources for the use of various resources via the internet. Hence there are many cloud service providers are competing with each other in order to provide cloud services to the cloud users. In fact, the growth of cloud users has been increased tremendously from last decade to the present decade. In directives to provide right cloud service to users is aimed at almost all cloud service providers. The cloud service providers are also increasing many features of their cloud service products to attract the cloud service users. But cloud service users are facing difficulties to select the right service from a pool of cloud services. Hence it has become necessary for cloud service users to evaluate cloud services and select the best one, for this purpose a new evaluation model has been proposed in this paper based on data mining Fuzzy clustering algorithm.
引用
收藏
页数:4
相关论文
共 50 条
  • [1] A Fuzzy Clustering Algorithm of Data Mining Based on IWO
    Zhao Xiao-qiang
    Zhou Jin-Hu
    Yang Jia-Min
    [J]. 2013 32ND CHINESE CONTROL CONFERENCE (CCC), 2013, : 7988 - 7993
  • [2] The Application of Data Mining Clustering Algorithm in Fuzzy Control
    Li Guodong
    Xia Kewen
    [J]. SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING: THEORY AND PRACTICE, VOL 1, 2012, 114 : 105 - 113
  • [3] Research on data mining clustering algorithm in cloud computing environment
    Du, Li
    [J]. BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2021, 128 : 179 - 180
  • [4] An efficient clustering algorithm for mining fuzzy quantitative association rules
    Chien, BC
    Lin, ZL
    Hong, TP
    [J]. JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5, 2001, : 1306 - 1311
  • [5] A software trustworthiness evaluation methodology for cloud services with picture fuzzy information
    Yue, Chuan
    [J]. APPLIED SOFT COMPUTING, 2024, 152
  • [6] Fault diagnosis by data mining based on focusing fuzzy clustering algorithm
    Yang Ping
    [J]. PROCEEDINGS OF 2005 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1 AND 2, 2005, : 992 - 996
  • [7] Rough-fuzzy relational clustering algorithm for biological sequence mining
    Maji, Pradipta
    Pal, Sankar K.
    [J]. ROUGH SETS AND KNOWLEDGE TECHNOLOGY, 2008, 5009 : 292 - 299
  • [8] Improved FIFO scheduling algorithm based on fuzzy clustering in cloud computing
    [J]. Ma, Tinghuai (thma@nuist.edu.cn), 1600, MDPI AG (08):
  • [9] Big Data Clustering Mining Based on Swarm Intelligence Algorithm in Cloud Environment
    Yan, Yaning
    [J]. MOBILE INFORMATION SYSTEMS, 2022, 2022
  • [10] Application of nonlinear clustering optimization algorithm in web data mining of cloud computing
    Zhang, Yan
    [J]. NONLINEAR ENGINEERING - MODELING AND APPLICATION, 2023, 12 (01):